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Mathematics Colloquium Archive

The following are the Mathematics Colloquia from previous semesters.

Spring 2021

4/30/21: A Comparative Study of Machine Learning Methods on Next-Generation Sequencing of T-Cell Receptor Repertoire Data

Tao He (San Francisco State University)


T cells represent a crucial component of the adaptive immune system. Antigen-specific recognition is realized via T cell receptor (TCR), which is the product of somatic V(D)J gene recombination, plus some random addition/subtraction of nucleotides at recombination junctions. In this study, we aggregated the clones based on V/J gene segments, which overcomes the limitation and thus can build machine learning models across subjects. Here we presented a comparative study of different feature selection and classification on two multiclass Next-Generation Sequencing TCR repertoire data in cancer studies. We also proposed a novel ensemble of feature selection and demonstrated the method in simulation studies.

About the Presenter

Tao He is an Assistant Professor of Statistics in the Department of Mathematics at San Francisco State University. She received her PhD in Statistics and dual PhD in Quantitative Biology from Michigan State University in 2015. Currently, she also serves as the President of San Francisco Bay Area Chapter of American Statistical Association. Dr. He’s research interests include statistical genetics/genomics, high-dimensional statistical inference, non- and semi-parametric models, statistical learning and their applications in biomedical research.

4/23/21: One brick at a time: Dismantling structural inequities in mathematics education with the anti-deficit perspective

Aditya Adiredja (University of Arizona)


In this presentation I argue that engaging in anti-deficit work about students’ mathematical thinking is an accessible way to begin work on dismantling structural inequities in mathematics education. I will define what I mean by an anti-deficit perspective and its role within the equity project in mathematics education. I will share different projects from my program of research and how they embody the anti-deficit perspective. I will illustrate with findings from my work how such perspective has allowed me to challenge oppressive norms, and more importantly, to reimagine and construct different possibilities for students of color in mathematics and STEM more broadly.

About the Presenter

Dr. Adi Adiredja is a teacher researcher whose work examines the role of race and gender in undergraduate mathematics education. His work continues to problematize how traditional cognitive work in mathematics education can engage with the politics of knowledge and learning, particularly pertaining to students of color.

4/16/21: The Topological Symmetry Groups of the Heawood Graph.

Robin Wilson (California State Polytechnic University, Pomona)


Although, motivated by chemistry, spatial graph theory has now become a subfield of low dimensional topology closely related to knot theory. In particular, the study of topological symmetry groups of graphs embedded in S3 can be thought of as a generalization of the study of symmetries of knots and links. For a given embedding, we are interested in the automorphisms of the graph that are induced by a homeomorphism of the 3-sphere. This subgroup of the automorphism group of the graph is known as the topological symmetry group of that embedding. We will discuss recent results classifying which groups can occur as the topological symmetry group of some embedding of the Heawood graph in S3.

About the Presenter

Dr. Robin Wilson is a Professor of Mathematics at California State Polytechnic University, Pomona. He received his Ph.D. from UC Davis and joined the faculty at Cal Poly Pomona in 2006. In addition to maintaining an active research program in low-dimensional topology, Dr. Wilson also works in the field of mathematics education with a focus on equity and access of underserved youth which has come out of his involvement with the Algebra Project. He takes pride in the work that he has done throughout his time at Cal Poly Pomona and around Los Angeles. “I’ve been able to help young people, mostly from working-class backgrounds, learn not just about mathematics, but about what they themselves are capable of and pushing them to unlock their potential and prepare for a brighter future,” Wilson said. “I’m also proud of the community of mathematicians and educators that I am a part of that are fighting every day to re-humanize mathematics and re-imagine our place in it.” Dr. Wilson was The Network of Minorities in Mathematical Sciences’ 2018 Black History Month Honoree.

4/9/21: Counting ends of complete noncompact manifolds.

Prof. Ovidiu Munteanu (University of Connecticut)


An end of a manifold is an unbounded connected component of the topological space that results after removing some compact subset from the manifold. Finding the number of ends of noncompact manifolds is an important question. The talk will present some useful analytic techniques for counting the number of ends of manifolds. We will survey several classical results, and also present some more recent development.

About the Presenter

Ovidiu Munteanu is an Associate Professor in the Department of Mathematics at the University of Connecticut. His research interests are in differential geometry and partial differential equations. Ovidiu gets his PhD in UC Irvine under the advising of Peter Li. He was Ritt Assistant Professor in Columbia University before joining UCONN. Besides of teaching and research, Ovidiu enjoys solving interesting math problems with undergraduate students and organizing math problem seminars and Putnam competitions.

3/26/21: Group C*-algebras with Some Concrete Examples

Ying-fen Lin (Queen's University Belfast)


Let G be a locally compact group. It is known that the group C*-algebra can be defined by taking completion of L1(G) with respect to the C*-norm given by the irreducible unitary representations of G. However, if the group is not abelian, there is no concrete description of its group C*-algebra. In my talk, I will first introduce the C*-algebra of a group and then give a survey of results on certain classes of groups whose C*-algebras can be explicitly described.

About the Presenter

Dr. Ying-Fen Lin is a Senior Lecturer in the School of Mathematics and Physics at Queen's University Belfast. She obtained her PhD in 2005 from National Sun Yat-Sen University. Her research interests are in the areas of Operator Algebras, Abstract Harmonic Analysis, Linear Preservers and their interactions. More specifically, she is interested in operator algebras arising from locally compact groups, and in their concrete descriptions in terms of operator fields, as well as their rigidity properties.

3/19/21: Social Network Analysis & Communities in Mathematics Education

Naneh Apkarian (Arizona State University)


Undergraduate mathematics teaching and learning are cultural activities, situated within communities. Understanding aspects of these communities and their cultures can reveal much about how current practices work, and how we might change them for the better. This seminar will include: an overview of relevant theories; how to gather and interpret social network data related to education; and results from research studies.

Much of the talk will center on an investigation of instructional leadership at five university mathematics departments, in the context of lower-division mathematics courses. Guided by sociocultural theories, we use social network analysis to identify patterns of influence on instruction using the relations: seeking advice, sharing instructional materials, discussing instructional matters, and explicitly influencing teaching approach. Analysis of social network data gathered through surveys indicates that in these five communities, not all those with hierarchical authority have real influence over instructional practice, but those with the most influence over instruction do hold formally recognized positions.

Time permitting, preliminary results from ongoing work related to classroom participation patterns – and students’ perceptions of those patterns – will also be presented as an example of using social networks to investigate classroom-level phenomena.

About the Presenter

Dr. Naneh Apkarian is an Assistant Professor of Mathematics Education in the School of Mathematical and Statistical Science at Arizona State University. She joined ASU in Fall 2020, amidst the COVID-19 pandemic. Dr. Apkarian's research involves many aspects of undergraduate mathematics education, primarily at a systemic or program level. She uses quantitative and qualitative research methods to better understand department and classroom level communities, students' experiences in mathematics courses, how students engage with mathematics content, and how to affect changes in STEM education. While Dr. Apkarian's work ranges across a variety of topics and contexts, it all contributes to a goal of creating a more inclusive and supportive STEM education system.

3/12/21: An Operator Theoretic Approach to the Convergence of Rearranged Fourier Series

Dr. Ben Hayes (University of Virginia)


I'll discuss joint work with Keaton Hamm and Armenak Petrosyan. In it, we investigate a rearrangement problem for Fourier series introduced by P.L. Ulyanov, who conjectured that every continuous function on the circle admits a rearrangement of its Fourier coefficients such that the rearranged partial sums of the Fourier series converge uniformly to the function. We give several new equivalences to this conjecture in the context of operators on Hilbert spaces, and how these motivate weaker version of this rearrangement conjecture. Time permitting, I'll discuss how our work gives new characterizations of classical function spaces, as well as how this motivates problems for convolution operators on nonabelian groups. This talk will be accessible to a general audience.

About the Speaker

Ben Hayes is an assistant professor at the University of Virginia. He obtained his PhD in 2014 at the University of California, Los Angeles, and was previously a postdoc at Vanderbilt University from 2014-2017. He received a postdoc research award from Vanderbilt University. His research interests are in von Neumann algebras, entropy of dynamical systems, free probability, soficity of groups, and measured group theory.

3/5/21: Machine Learning Methods in Genomic Variation

Dr. Mario Banuelos, (Fresno State)


Genomic anomalies, or variations, are often shared between members of the same species. Although rare, these changes may result in disease or an increase in host fitness. Most approaches for detecting structural variation rely on high quality data and are typically limited to one type of structural variant such as deletions or inversions. These genomic changes and interactions are often difficult to detect. Standard approaches for identifying such variation involves comparing fragments of DNA from the genome of interest to a reference genome. This process is usually complicated by errors produced in both the sequencing and mapping process which may result in an increase in false positive detections. In this work, we describe gradient boosting, neural network, and recommendation systems approaches in the context of genomic variants.

About the Speaker

Mario Banuelos is an Assistant Professor of Mathematics at California State University, Fresno. He is from the small, agricultural town of Delano, California and a first-generation college student. Dr. Banuelos earned his B.A. in Mathematics from California State University, Fresno (Fresno State), and he obtained a Ph.D. in Applied Math from the University of California, Merced. His research interests include mathematical biology, optimization, statistical models for genome evolution, and data science. He is currently the program director for the SIAM Activity Group on Applied Mathematics Education.

2/26/21: Setting Goals for Community Colleges Informed by Diversity, Inclusion, Equity, and Settler Colonialism in Mathematics

Belin Tsinnajinnie (Santa Fe Community College)


Diversity and inclusion projects to support aspiring and current mathematicians from marginalized communities are often framed through some need for diversity and inclusion to advance the fields of mathematics. However, these conversations often fail to center the needs and goals of marginalized and underrepresented communities. In this talk, I discuss diversity and inclusion initiatives through a lens that is informed by frameworks that identify mathematics education as settler colonialism and my own experiences of inclusion/exclusion.

I call for a shift in the ways we can frame conversations of justice, equity, diversity, and inclusion in community college settings by asking: How do diversity and inclusion efforts in mathematics and mathematics education directly empower marginalized communities?

2/19/21: Applied Mathematics and Statistics in Biotech

Nan Hu (Genentech Inc.)


This talk will give you a sneak peak of how applied mathematics and statisti​cs are used in the biotech industry. I will first introduce an important statistical model in late-phase clinical trials: random coefficient regression model (RCRM). Through an examination of the RCRM, this talk then illustrates how mathematics can influence key decisions in a biotech company. I will also discuss the skillset needed for an industry job and how you can get ready for it as a graduate student. Lastly, a brief description of Genentech will be presented.

About the Presenter

Nan Hu is currently a Principal Statistical Scientist at Genentech Inc. He obtained his Ph.D. in Applied Mathematical & Computational Sciences from the University of Iowa in 2016; he also holds a MS degree in Biostatistics from the University of Iowa.

Over the past ~5 years, Nan has served as the study statistician on multiple Phase I, II, and III Alzheimer’s clinical trials. Nan is currently the project lead statistician on crenezumab Alzheimer’s program, serving as a member of the Genentech global development team. In early 2019, Nan was a key member coming up with statistical strategies on crenezumab Phase III futility analysis. Nan is also a member of the cross-industry working group on endpoints in early Alzheimer’s disease.

In 2020, Nan also worked as the study statistician on a COVID-19 Phase III clinical trial at Genentech.

2/5/21: Problematizing Neutrality in Undergraduate Calculus Instruction Entrenched in Racialized-Gendered Logics and Mechanisms of Inequality

Full title: "I Do Think Race and Gender Play a Role… I Would Analyze That Statement and Think, ‘Oh, Should I Not Take STEM?'”: Problematizing Neutrality in Undergraduate Calculus Instruction Entrenched in Racialized-Gendered Logics and Mechanisms of Inequality

Dr. Luis Leyva (Vanderbilt University)


In this presentation, I characterize seemingly neutral features of undergraduate calculus instruction that insidiously contribute to the well-documented function of calculus in higher education as a racialized-gendered gatekeeper of advanced mathematics coursework and STEM majors. Drawing on published analyses of student interviews based on journaling of instructional events in calculus classrooms, I present how underrepresented students perceived seemingly neutral instructional practices as being entrenched in exclusionary logics that collide with stereotypes and other sociohistorical forces to fuel racialized-gendered mechanisms of inequality in student outcomes. In particular, my analyses revealed two logics in calculus instruction — (i) Instructors hold more mathematical authority than students; and (ii) Calculus is used to weed out students ’not cut out’ for STEM success — that underrepresented students perceived as producing inequitable opportunities for classroom participation, support from instructors and same-race/same-gender peers, and persistence in the calculus sequence and STEM majors. Throughout the presentation, I illustrate how ideologies of colorblindness and gender neutrality rooted in white supremacy and patriarchy, respectively, justify seemingly neutral instructional practices that have academically and socially damaging impacts on underrepresented students. I conclude the presentation by highlighting implications for practice in mathematics departments to support faculty with engaging in critical reflection and inquiry of their instructional practices, especially in introductory courses, that disrupt mechanisms of inequality rooted in white, patriarchal logics.

1/29/21: On Solitons and Constant Mean Curvature Surfaces

Dr. Hsioa-Fan Liu (Tamkang University, Taiwan)


The Sine-Gordon equation was discovered in the 19 century and S. S. Chern in 1981 gave a geometric interpretation of solutions to the Sine-Gordon equation, that is the pseudosphere. This relates partial differential equations and differential geometry. Such relation gives rise to the study of integrable systems and geometries. In this talk, we will recall the history of the Sine-Gordon equation and the pseudosphere at first. Then we will introduce some related and generalized questions with the known results. In the end, we will discuss our recent results on Heisenberg groups in this direction.

About the Presenter

Hsiao-Fan Liu is an Assistant Professor of Mathematics at Tamkang University, Taiwan. Her research interests lie at differential geometry, PDE and discrete mathematics, especially integrable geometric curvature flows and integrable systems. She earned a PhD in mathematics from UC Irvine in 2014 (with Chuu-Lian Tern). Before joining Tamkang University, she has worked in Institute of Mathematics, Academia Sinica, Taipei and National Tsing Hua University as posdoc.

1/22/21: Potential dependence of the density of states for Schrödinger operators

Dr. Chris Marx, Oberlin College


In this talk we will explore the dependence of the density of states for Schrödinger operators on the potential. The density of states characterizes the averaged spectral properties of a quantum system. Formally, it can be obtained as an infinite volume limit of the spectral density associated with finite-volume restrictions of a quantum system. Such limit is known to exist for certain quantum mechanical models, most importantly for Schrödinger operators with periodic and random potentials.

Following ideas by J. Bourgain and A. Klein, we will consider the density of states outer measure (DOSoM) which is well defined for all Schrödinger operators. We will explicitly quantify the parameter dependence of the DOSoM by proving a modulus of continuity with respect to the potential (in $L^\infinity$-norm and weak topology). This result is obtained for all discrete Schrödinger operators on infinite graphs and captures the geometry of the graph at infinity.

This talk is based on joint work with Peter Hislop (University of Kentucky).

About the Presenter

Chris Marx is an Associate Professor of Mathematics at Oberlin College. His research interests lie at the intersection of analysis and mathematical physics, more specifically in spectral theory of Schrödinger operators. He earned a masters degree in theoretical and physical chemistry at the University of Vienna, Austria in 2007, and a PhD in mathematics from UC Irvine in 2012 (with S. Jitomirskaya). From 2012 to 2014, he held a postdoctoral position at Caltech as Harry Batement Instructor with Barry Simon. Since 2014 he has taught at Oberlin College, with promotion to Associate Professor in June 2020. In his spare time, Chris is a passionate amateur musician (harpsichord and voice), with a keen interest in early music and historical performance technique.

Fall 2020

12/4/20: Calling Bull - rethinking the Q course

Dr. Carrie Diaz Eaton, Bates College


We are in a new age of digital information. Information is a form of power, and our students consume and produce more unfiltered information than ever. They need agency as individuals and tools as members of a future workforce to ethically and responsibly process this information. What is the role of mathematics instruction in helping students in their role as a digital citizen? I talk about my journey to developing an information literacy course using Open Educational Resources, including Calling Bull, Figure of the Day, and RStudio. This course serves as a forum to think meaningfully about probability, data analysis, and data visualization, a gentle introduction to programming, and a context to examine the interplay of information, power, and social justice. It also asks students to use these tools to explore and develop their own agency as a digital citizen.

About the Presenter

Dr. Carrie Diaz Eaton's research in undergraduate interdisciplinary STEM education is grounded in community network theory and analysis. As an Associate professor of Digital and Computational Studies at Bates College in Maine, Dr. Diaz Eaton co-leads a number of digital community projects such as QUBES Director of Partnerships (Quantitative Undergraduate Biology Education and Synthesis) and Math Mamas. Carrie Diaz Eaton currently serves as the Chair for the Committee for Minority Participation in Mathematics for the Mathematical Association of America [MAA], is a MAA blogger for MathValues, and serves on the Editorial board of PRIMUS and CourseSource. She has also served as the past Program Chair and Electronic Communications Chair of BIO SIGMAA, as Education Subgroup Chair for the Society of Mathematical Biology, and for the editorial board for Letters in Biomathematics.

In 2012, Dr. Diaz Eaton was an MAA Project NExT Fellow, and in 2018 was selected as a Linton-Poodry SACNAS Leadership Institute Fellow. In 2020, Dr. Diaz Eaton was awarded the Society for Mathematical Biology John Jungck Excellence in Education Prize to recognize her for her work in interdisciplinary computational and mathematical biology education and mentorship. Dr. Diaz Eaton is also a proud 1st generation Latinx - her father is from Peru. She is also a mother. Dr. Diaz Eaton values the complex interplay at the intersection of her identities, professional activism in STEM education, and her research.

11/20/20: Non-local games from an operator algebraic perspective

Kari Eifler, Texas A&M


Non-local games lie in the intersection of operator algebras and quantum information theory. In this talk, I will summarize some results of the operator algebraic approach to non-local games. I will especially focus on two examples: the graph isomorphism game and the metric isometry game, emphasizing the role of C*-algebras play in the study of these games. Finally, I will discuss how non-local games are able to shed light on the quantum symmetries of classical objects.

About the Presenter

Kari Eifler is a PhD candidate at Texas A&M with plans to graduate in the summer of 2021. Her research lies within the areas of operator algebras and quantum information theory, with her dissertation focusing on quantum symmetries relating to non-local games. She previously completed her Masters of Mathematics at the University of Waterloo and her Bachelor of Science at the University of Alberta. During quarantine, she's enjoyed the opportunity to improve her cooking and baking skills.

11/13/20: The Chromatic Polynomial of a Graph

Dr. Josh Hallam, Loyola Marymount University


The chromatic polynomial was originally defined by George Birkhoff as a tool to solve the famous four-color problem. Although it was not used in the eventual proof of the four-color problem, it has been shown to possess many interesting and unexpected properties. We will survey some of the properties and along the way see connections of the chromatic polynomial with other mathematical objects.

No background knowledge is required.

About the Presenter

Josh Hallam obtained his PhD from Michigan State University in 2015. After that, he was a teacher-scholar postdoctoral fellow at Wake Forest University. He is currently an assistant professor at Loyola Marymount University. His research interests include enumerative and algebraic combinatorics.

11/06/20: Inference for Time-Course Count Data with Application to RNA-Sequencing Analysis

Dr. F. Jay Breidt, Colorado State University


In this talk, I illustrate how many "small" but powerful statistical ideas (regression, interactions, likelihood ratios, multiple comparisons, mixtures, Monte Carlo, and more) can be combined to address a complex scientific problem. Experiments that longitudinally collect RNA sequencing (RNA-seq) data can reveal dynamic patterns of differential gene expression. Most existing tests are designed to distinguish among conditions based on overall differential patterns across time, but a variety of composite hypotheses may be of more scientific interest. Further, existing methods may lack power and some fail to control the false discovery rate (FDR). We propose a new model and testing procedure to address these issues simultaneously. Conditional on a latent Gaussian mixture with evolving means, we model the data by negative binomial regression, introduce a general testing framework based on the proposed model and show that the proposed test enjoys the optimality property of maximum average power. The test allows not only identification of traditional differentially-expressed genes but also testing of a variety of composite hypotheses of biological interest. We establish the identifiability of the proposed model, implement the proposed method via efficient algorithms, and demonstrate its good performance via simulation studies. The procedure reveals interesting biological insights when applied to data from an experiment that examines the effect of varying light environments on the fundamental physiology of a marine diatom.

This is joint work with Meng Cao, Novartis; Wen Zhou, Department of Statistics, Colorado State University; and Graham Peers, Department of Biology, Colorado State University

About the Presenter

Jay Breidt, Professor of Statistics at Colorado State University, has research interests in survey sampling, time series, nonparametric regression, and uncertainty quantification for complex scientific models. He received his PhD at Colorado State University in 1991 and spent nine years at Iowa State University before returning to Colorado State in 2000. Breidt has been an associate editor for eight journals and reviews editor for Journal of the American Statistical Association and The American Statistician. He has served on six review committees for the National Academy of Sciences. He is past Chair of the American Statistical Association National Committee on Energy Statistics, has served two terms on the Federal Economic Statistics Advisory Committee, and is currently a member of the Census Scientific Advisory Committee. Breidt is an elected Fellow of the American Statistical Association and an elected Fellow of the Institute of Mathematical Statistics.

10/30/20: Geometry of Turbulent Flows and the 3D Navier-Stokes regularity problem

Dr. Aseel Farhat, Florida State University


We describe several aspects of an analytic/geometric framework for the three-dimensional Navier-Stokes regularity problem, which is directly inspired by the morphology of the regions of intense vorticity/velocity gradients observed in computational simulations of three-dimensional turbulence. Among these, we present our proof that the scaling gap in the 3D Navier-Stokes regularity problem can be reduced by an algebraic factor within an appropriate functional setting incorporating the intermittency of the spatial regions of high vorticity.

About the Presenter

Aseel Farhat finished her PhD work in the Department of Mathematics at University of California Irvine in 2012. She was a Zorn Postdoctoral Fellow in the Department of Mathematics at Indiana University Bloomington between 08/2012 and 08/2015, and later joined the Department of Mathematics at University of Virginia as a Whyburn Instructor (Postdoc) till 08/2018. She is currently an Assistant Professor in the Mathematics Department at the Florida State University.

Aseel's main research area is fluid dynamics and analysis of non-linear PDEs. Her interests include well-posedness of geophysical models of ocean and atmosphere, continuous data assimilation (downscaling algorithms), feedback control, regularity criteria for the 3D Navier-Stokes equations, and geometry of turbulent flows.

10/23/20: From Classical Mechanics to Symplectic Geometry

Dr. Rui Wang, UC Berkeley


Symplectic geometry originated from classical mechanics. In this talk we first give a mathematical introduction to classical mechanics and quantum mechanics. Then we explain how the formalism of Symplectic Field Theory introduced by Eliashberg-Givental-Hofer, which is the most fruitful theory in symplectic geometry in the past 20 years, beautifully matches such theoretical mechanics framework. This talk is accessible to a general audience.

About the Presenter

Rui Wang is working at UC, Berkeley. She got her Ph.D. degree in mathematics from University of Wisconsin-Madison. Her mathematical interests lie in symplectic geometry, contact geometry and mathematical physics. She enjoys research and teaching.

10/16/20: A primer on survey statistics or "why do I need to use those weights?"

Dr. Jean Opsomer, Westat


Many important observational datasets in social sciences and public health are obtained through statistical surveys. A key strength of surveys is that the results of statistical analyses of survey data, properly performed, are statistically valid for inference about the overall population, without the need of additional assumptions. This is in contrast with non-survey observational data, whose representativeness needs to be justified on non-statistical grounds. However, analysis of survey data requires the use of specialized (weighted) approaches, which are not always available in standard statistical software. We will present an overview of the principles of survey design and estimation, and describe how survey-weighted analyses are performed and interpreted.

About the Presenter

Jean Opsomer is Vice President at Westat, where he directs several large-scale survey and modeling projects for federal agencies and other clients. Previously, he spent 23 years as a faculty member in statistics, the majority of which at Iowa State University. His recent research has focused on the introduction of shape-constrained and nonparametric methods in survey estimation and on several interdisciplinary projects with survey components on a range of topics (higher education, public health, nutrition, employment, fisheries management, methane emissions, forest health, and agricultural erosion). The author or coauthor of 65 peer-reviewed articles, he has introduced a number of influential novel statistical methodologies into survey estimation. Dr. Opsomer is a Fellow of the American Statistical Association and the Institute of Mathematical Statistics, and an Elected Member of the International Statistical Institute.

10/9/20: Changing Healthcare

Dr. Ian Duncan, UC Santa Barbara


Healthcare budgets in most countries seem to be out of control, with the U.S. heading to 20% of GDP and other countries not far behind in terms of rapidity of increases. Recently, predictive analytics, big data and artificial intelligence have been proposed as a solution that will enable practitioners to identify high risk populations and conditions earlier and intervene more effectively with patients. Is this hope justified or is it another example of mis-placed optimism? What will it take for predictive analytics to make a significant impact on the cost and value of healthcare? We propose that three factors are required to work together to effect transformation: Payment Reform; Predictive Analytics and Behavioral Economics. In the future, more outcomes risk will be transferred to providers and consumers of healthcare services. As risk professionals, actuaries will be a significant contributor to this transformation.

About the Presenter

Ian Duncan is Adjunct Professor of Actuarial Statistics at the University of California Santa Barbara and president of Santa Barbara Actuaries Inc. a healthcare analytics firm. Dr. Duncan holds a graduate degree in Economics from Balliol College, Oxford and a PhD in actuarial statistics from Heriot-Watt University, Edinburgh. He is a fellow of a number of actuarial organizations. He is active in public policy and healthcare reform, and served on the board of directors of the Commonwealth of Massachusetts Health Insurance Connector Authority from 2007-2014 and the Society of Actuaries, 2012-5. He also serves on the advisory boards of several start-up healthcare companies. He is the author of more than 80 peer-reviewed papers, and several books and book chapters. His latest book, a second edition of "Healthcare Risk Adjustment and Predictive Modeling" (Actex Publications) was published in May 2018.

9/18/20: Resolution analysis in some scattering problems and super-resolution in certain scenarios

Dr. Yat Tin Chow, UC Riverside


In this talk, we explore image resolution and ill-posed-ness of inverse scattering problems. In particular, we would like to discuss how certain properties of the inclusion might induce high-resolution imaging. We first explore the super-resolution phenomenon with certain particular high contrast inclusion. We then discuss how local sensitivity (and resolution) around a point is related to the extrinsic curvature of the surface of inclusion around the point. Along the line, we also discuss concentration of plasmon resonance (in a certain manner) at boundary points of high curvature leveraging the Heisenberg picture of quantization and quantum ergodicity first derived by Shnirelman, Zelditch, Colin de Verdiere and Hellfer-Martinez-Robert. This is a joint work with Habib Ammari (ETH Zurich), Hungyu Liu (CityU of HK), Keji Liu (Shanghai Key Lab), Jun Zou (CUHK).

About the Presenter

Yat Tin Chow is currently an Assistant Professor in the Department of Mathematics. He received his Ph.D. in Mathematics from the Chinese University of Hong Kong. He joined the faculty in UC Riverside after being a CAM assistant adjunct professor in Department of Mathematics in UCLA. His major research direction is applied mathematics. Dr. Chow's current research interests includes resolution analysis and enhancement of imaging from boundary measurements of various physical quantities, e.g. electric current, acoustic wave, light intensity, etc. He is also interested in computational methods of medical imaging and tomography, e.g. Electrical Impedance Tomography. Dr. Chow's other fields of interest include both theoretical and numerical aspects of large scale optimization method, computations of control methods and conflict modeling in high dimensional systems, as well as transportation plans and games between large populations in the mean field, and different phenomena that arise from this setting. If you are interested in his search areas, kindly visit Dr. Chow's personal website.

9/11/20: Fast Graph-based Algorithms for Analyzing Protein-Protein Interaction Networks

Dr. Junyuan Joanne Lin, Loyola Marymount University


This research aims to predict proteins' functions from protein-protein interaction (PPI) networks. The PPI networks we study include physical and genetic interactions between labeled and unlabeled proteins. This allows us to predict proteins' unknown functions based on the function labels of closely interacted "neighbors". In this presentation, I will present our award-winning graph-based algorithms that achieve the best prediction accuracy worldwide in the 2016 Disease Module Identification DREAM Data Mining Challenge. We define the diffusion state distance (DSD) metric, which sets appropriate distances to measure proteins' proximity on PPI networks as well as many other close-knit networks including social and energy networks. Fast algorithms, such as the unsmoothed aggregation algebraic multigrid method with random projections, are adopted to compute the DSD efficiently. Based on random walks combining with random projections, we propose graph-based methods to construct k-nearest-neighbor (kNN) graphs under the DSD metric for function prediction. We test our proposed algorithms on different networks to demonstrate that the computational cost of the algorithms is nearly optimal.

9/4/20: Property/Casualty Insurance Ratemaking

Prof. Janet Duncan, FCAS, FSA, MAAA


Insurance is a contractual promise to reimburse policyholders for future losses. Consumers often comment that they don't understand their insurance rates – it all seems very mysterious to them. But in reality, creating insurance rates is very logical when broken down into its component parts. The fundamentals of insurance ratemaking are very similar to the pricing of many other products, i.e., understanding cost and determining a target profit load. The major difference is that for many products, the cost is easily determined from the manufacturing process. However, for insurance, the cost involves significant uncertainty about the future. This presentation will introduce the audience to fundamental insurance principles and the mystery behind insurance ratemaking.

About the Presenter

Professor Janet Duncan has over 30 years of property/casualty financial analysis experience, including commercial and personal lines reserving and pricing, financial and capital modeling, planning, and management reporting. Janet's work experience includes six years as CNA's senior vice president and signing actuary, responsible for $17 billion of property/casualty reserves, including standard commercial lines, specialty lines, and discontinued operations. Prior to CNA, Janet worked at XL Capital, serving in roles of increasing responsibility including executive vice president and chief finance officer of XL Insurance Europe and Asia. She also worked with PricewaterhouseCoopers LLP (consulting and audit support), and served in various actuarial roles with Aetna Life & Casualty where she began her insurance career. Janet has a bachelor's degree in Math/Actuarial Science from the University of Connecticut. She has served on many actuarial committees including the CAS Committee on Professionalism Education, the CAS Committee on Reserves, the AAA IFRS Task Force, the AAA Opinion Seminar Committee, and the SOA Strategic Planning Task Force. She is now working as a lecturer at the Department of Applied Probability and Statistics at UC, Santa Barbara.

8/28/20: Creativity-in-Progress Reflections (CPR) on Proving and Problem Solving

Dr. Gülden Karakök, University of Northern Colorado


Numerous reports, policy and standards documents, and research studies emphasize the importance of creativity. For example, the recent report from the World Economic Forum noted that creativity at work is one of the top-three demanded skills, and that it "has jumped from 10th place to third place in just five years" (Schöning & Witcomb, 2017, para. 12). Within the domain of mathematics, similar emphases are made by mathematicians, mathematics education researchers and policy/standards makers. For example, the Mathematical Association of America's (MAA) CUPM Curriculum Guidelines (Schumacher & Siegel, 2015) for majors in the mathematical sciences states that "a successful major offers a program of courses to gradually and intentionally lead students from basic to advanced levels of critical and analytical thinking, while encouraging creativity and excitement about mathematics" (p. 9). In this talk, I will briefly summarize some of the research on mathematical creativity at the K-16 levels and introduce the work of the Creativity Research Group focusing on undergraduate mathematics courses. Our research group aims to explore ways in which undergraduate students' mathematical creativity can be fostered and explicitly valued in mathematics courses that include proof-construction and/or problem solving activities. I will introduce the Creativity-in-Progress Reflections (CPR) on Proving and Problem Solving tools that we designed. These formative assessment tools were created to enhance mathematical creativity (of users) while facilitating proof-construction and problem-solving heuristics as well as fostering metacognition. With two categories, Making Connections and Taking Risks, these formative assessment tools aim to develop mathematical discourse centered around aspects of creativity related to fluency, elaboration, flexibility, and originality. I will provide some examples of how one might implement these tools in various mathematics courses as well as discuss some illustrative empirical examples from our research studies.

Spring 2020

Note: Most of the Colloquia were cancelled due to COVID-19.

Spring 2020 Colloquia
Date Title Speaker and Affiliation
January 31, 2020 Radar Topics with Quantitative Examples Tim Rambach, Retiree from Raytheon

Fall 2019

Fall 2019 Colloquia
Date Title Speaker and Affiliation
November 22, 2019 Region Coverage from a Satellite ... (Insight into Industrial Mathematics) Dr. Gary Green, retired from Aerospace Corporation
November 19, 2019* Learning turbulence from deep learning Dr. Alessandro Corbetta, Eindhoven University of Technology
November 15, 2019 Bayesian Sparse Functional Principal Components Analysis Models Dynamic Temporal Changes in Longitudinal Microbiome Studies Lingjing Jiang, UC San Diego
November 8, 2019 Applications of Mathematics in Telecommunications Dr. Shabnam Sodagari, CSU Long Beach
November 1, 2019 Energy Stable Semi-Implicit Schemes for Allen-Cahn-Ohta-Kawasaki Model in Binary/Ternary System Dr. Yanxiang Zhao, George Washington University
October 25, 2019 On the interplay of functional analysis and operator theory Dr. Yunied Puig de Dios, UC Riverside
October 11, 2019 Property/Casualty Insurance Loss Reserving Methods Janet Duncan, UC Santa Barbara
October 4, 2019 Impacts of Cellular Heterogeneity on Hair Follicle Growth Dynamics Dr. Qixuan Wang, UC Riverside
September 27, 2019 Modeling Colony Pattern Formation under Differential Adhesion and Cell Proliferation Dr. Jiajia Dong, Bucknell University

Summer 2019

Summer 2019 Colloquia
Date Title Speaker and Affiliation
June 3, 2019 Pseudocompact spaces -- Various Characterizations Dr. Sudip Kumar Acharyya, University of Calcutta, India

Spring 2019

Spring 2019 Colloquia
Date Title Speaker and Affiliation
May 3, 2019 The Teichmüller TQFT Dr. Jørgen Ellegaard Anderson, Aarhus University, Denmark
April 19, 2019 Chemical Reactions and Diffusions Dr. Peyam Tabrizian, UC Irvine
April 12, 2019 Free-boundary Minimal Surfaces in the 3-ball with Connected Boundary Dr. David Wiygul, CSU Long Beach
March 8, 2019 Expanding Competence: Uncovering the Possibilities of Children’s Mathematical Thinking Dr. Nick Johnson, UCLA

Fall 2018

Fall 2018 Colloquia
Date Title Speaker and Affiliation
October 19, 2018 Mathematical Models of Human Immunodeficiency Virus Reservoirs Dr. Naveen Vaidya, CSU San Diego
October 12, 2018 Fibonacci and Lucas Analogues of Binomial Coefficients and What They Count Dr. Curtis Bennett, CSU Long Beach

Summer 2018

Summer 2018 Colloquia
Date Title Speaker and Affiliation
June 14, 2018 Characterizing pseudocompact spaces in terms of C-type intermediate rings Sudip Kumar Acharyya, University of Calcutta, India
June 8, 2018 Abundance of nonisomorphic intermediate rings of continuous functions Sudip Kumar Acharyya, University of Calcutta, India

Spring 2018

Spring 2018 Colloquia
Date Title Speaker and Affiliation
April 27, 2018 Study Gene Regulatory Networks Using Boolean Models Dr. Yi-Ming Zou, University of Wisconsin-Milwaukee
April 20, 2018 New Ranking Measures and Algorithms for Expanding Robust Group Decision-Making Frameworks Dr. Adolfo Escobedo, Arizona State University
April 18, 2018 Geometric Recursion Dr. Jørgen Ellegaard Andersen, Aarhus University, Denmark
April 13, 2018 CNSM Munch N' Learn. Students Speak: What Professors Should Know Students, CSU Long Beach
April 6, 2018 Finitely Additive Invariant Set Functions and Paradoxical Decompositions, or: How I Learned to Stop Worrying and Love the Axiom of Choice Dr. Adam D. Richardson, CSU Long Beach
March 16, 2018 How to Predict the Fate of Schrodinger's Cat Dr. Jim Stein, CSU Long Beach
February 23, 2018 Expansion Dynamics of Bacterial Populations Dr. Jonas Cremer, UC San Diego
February 16, 2018 RNA secondary structures enumeration and prediction and their relation to moduli spaces Dr. Jørgen Ellegaard Andersen, Aarhus University, Denmark
February 9, 2018 Interpolation of Manifold-Valued Functions Dr. Evan Gawlik, UC San Diego
February 2, 2018 Discrete Means: generalizing a theorem of Kolmogorov and social choice Dr. Curtis Bennet, CSU Long Beach

Fall 2017

Fall 2017 Colloquia
Date Title Speaker and Affiliation
December 1, 2017 Minimization of inhomogeneous biharmonic eigenvalue problems Dr. Chiu-yen Kao, Claremont McKenna College
November 3, 2017 Distribution of Descents in Matchings Dr. Gene Kim, USC
October 27, 2017 From Arrow's Social Choice Theorem to the compelling "dark matter" mystery Dr. Donald Saari, UC Irvine
October 20, 2017 Shooting from singularity to singularity and a semilinear Laplace-Beltrami equation Dr. Alfonso Castro, Harvey Mudd College
October 6, 2017 Mathematical Structures: Up Close and Afar Dr. Stacy Musgrave, Cal Poly Pomona
September 22, 2017 From Macro to Micro and Back: Complexity, Simplicity and Optimality of Bacterial Cells Dr. Matteo Mori, UC San Diego

Spring 2017

Spring 2017 Colloquia
Date Title Speaker and Affiliation
June 8, 2017 Relation between z-ideal and z^0-ideals in intermediate ring of continuous functions Dr. Sudip Acharyya, University of Calcutta, India
June 6, 2017 Some new results on real valued continuous functions on a space X whose support lie on ideals of closed sets in X Dr. Sudip Acharyya, University of Calcutta, India
May 5, 2017 Proof Comprehension at the Undergraduate Level: An Exploratory Study Dr. Eyob Demeke, CSU Los Angeles
April 14, 2017 Spectra of compact composition operators on bounded symmetric domains Dr. Dana Clahane, Fullerton College
March 17, 2017 Using Visual Art, Crafts and Music to Demonstrate Mathematics Dr. Benjamin Dyhr, Metropolitan State University

Fall 2016

Fall 2016 Colloquia
Date Title Speaker and Affiliation
December 2, 2016 Non-Locality, Contextuality, and Topology Dr. Kohei Kishida, University of Oxford
November 18, 2016 Outer Space and the Outer Automorphism Group of the Free Group Dr. Catherine Pfaff, UC Santa Barbara
November 10, 2016 The Remarkable History of Exponents and Logarithms Dr. Bob Stein, CSU San Benardino
October 28, 2016 Simulating Space: Role of Advanced Modeling and Uncertainty Quantification in JPL Missions Dr. Lee Peterson, Jet Propulsion Laboratory
October 21, 2016 Data Science, Data Services, a Sabbatical Reflection Dr. Khue Duong, CSU Long Beach
October 11, 2016 Lipschitz metric for a nonlinear wave equation Dr. Geng Chen, University of Kansas
September 23, 2016 JPL Robotics Dr. Gabriel Udomkesmalee, Jet Propulsion Laboratory
September 2, 2016 Nuclear Engineering for Everyone Dr. Minh N. Tran, UC Davis

Spring 2016

Spring 2016 Colloquia
Date Title Speaker and Affiliation
May 6, 2016 Clots or not? Mathematics making the invisible visible Dr. Ami Radunskaya, Pomona College
April 29, 2016 Generalized Wronskians and linear dependence of formal power series Dr. Wai Yan Pong, CSU Dominguez Hills
April 22, 2016 A Relational Category of Formal Contexts Dr. M. Andrew Moshier, Chapman University
April 8, 2016 Hearing the Shapes of Surfaces of Revolution Dr. Thomas Murphy, CSU Fullerton
March 4, 2016 Liberal Arts Math Dr. Jim Stein, CSU Long Beach
February 19, 2016 Geometry in the Dark Ages: Games of Shadows and Lights Dr. Bogdan Suceava, CSU Fullerton

Fall 2015

Fall 2015 Colloquia
Date Title Speaker and Affiliation
November 13, 2015 Part I: Collaborative Filtering and the Yelp Dataset
Part II: Python Introduction
Students, CSU Long Beach
October 30, 2015 Two Applications of the Arithmetic of Elliptic Curves Dr. Jasbir Chahal, Brigham Young University
October 23, 2015 Compact manifolds with integral bounds on the negative part of Ricci curvature and the Kato class Dr. Christian Rose, Technische Universität Chemnitz
October 16, 2015 From Residuated Lattices to Boolean Algebras with Operators Dr. Peter Jipsen, Chapman University
October 9, 2015 Energy driven pattern formation in thin fluid layers: The good, the bad and the beautiful Dr. Andrew J. Bernoff, Harvey Mudd College
September 11, 2015 Numerical Simulation of Solvent Stokes Flow and Solute-Solvent Interface Dynamics Dr. Hui Sun, UC San Diego

Spring 2015

Spring 2015 Colloquia
Date Title Speaker and Affiliation
May 15, 2015 Old and New Approximations for Bessel Functions Dr. Mark Dunster, CSU San Diego
April 24, 2015 Alternating Volume, a Hyperbolic Invariant of Knots Heidi Furlong and Leslie Rodriguez, CSU Long Beach
April 17, 2015 Analysis of 2+1 Diffusive-Dispersive PDE Arising in River Braiding Dr. Charis Tsikkou, West Virginia University
March 27, 2015 Graph Representatives of Positroid Strata Dr. Michaela (Puck) Rombach, UCLA
March 13, 2015 Can one hear the shape of a drum?---An Introduction to spectral theory in math physics Dr. Shiwen Zhang, UC Irvine
March 6, 2015 Crimes with Undergraduates Dr. Scott McCalla, Montana State University
February 27, 2015 Mathematica 10 & Wolfram Alpha Pro Paul Fish, Wolfram Technologies in Education and Research
February 20, 2015 The Differential Geometry of the Maxwell Equations Dr. Casey Kelleher, UC Irvine

Fall 2014

Fall 2014 Colloquia
Date Title Speaker and Affiliation
December 5, 2014 A Nonlinear Model for Tumor Growth: Global in time weak solutions Dr. Konstantina Trivisa, University of Maryland
November 14, 2014 Dynamics of a soccer ball Dr. Scott Crass, CSU Long Beach
November 7, 2014 Secure Computation and its Applications Dr. Mehrdad Aliasgari, CSU Long Beach
October 17, 2014 How Wide is a 3-Manifold? Dr. Diane Hoffoss, University of San Diego
October 10, 2014 Variational image segmentation with dynamic artifact detection and bias correction Dr. Dominique Zosso, UCLA
October 3, 2014 Topic Point Processes Dr. Blake Hunter, Claremont McKenna College
September 26, 2014 Knots, Fiber Surfaces, and the Building Blocks of Life Dr. Matt Rathbun, CSU Fresno
September 19, 2014 Geotagging One Hundred Million Twitter Accounts with Total Variation Minimization Dr. Ryan Compton, HRL Laboratories
September 12, 2014 An invitation to Floer homology Dr. Ko Honda, UCLA

Spring 2014

Spring 2014 Colloquia
Date Title Speaker and Affiliation
May 9, 2014 Topological symmetry groups Dr. Erica Flapan, Pomona College
May 2, 2014 Recent results on axially symmetric Navier-Stokes equations Dr. Qi Zhang, UC Riverside
April 17, 2014 Geometric Methods for Graph Partitioning Dr. Braxton Osting, UCLA
February 28, 2014 The Sound of Symmetry Dr. Zhiqin Lu, UC Irvine

Fall 2013

Fall 2013 Colloquia
Date Title Speaker and Affiliation
December 6, 2013 Augmented Birack Homology Dr. Sam Nelson, Claremont McKenna College
November 15, 2013 A Generalized Left-to-Right (GLR) parser for Tree-Adjoining Grammars (TAG) using Matrices Nen Huynh, CSU Long Beach
November 8, 2013 Involutory Quandles of Knots Dr. Jim Hoste, Pitzer College
October 25, 2013 Categorification and the Alexander polynomial Dr. Kristen Hendricks, UCLA
October 11, 2013 From Soap Films to the Shape of Space Dr. David Bachman, Pitzer College
October 4, 2013 An Illustrated Approach to Special Relativity and Its Paradoxes Dr. John dePillis, UC Riverside
September 27, 2013 Adventures in Noether-Lefschetz Theory II: Base Loci, Singularities, and Class Groups both Geometric and Algebraic (Joint work with Scott Nollet at TCU) Dr. John Brevik, CSU Long Beach
September 20, 2013 Kauffman Brackets on Surfaces Dr. Francis Bonahon, USC
September 6, 2013 Adventures in Noether-Lefschetz Theory I: Curves, Surfaces, and Curves on Surfaces Dr. John Brevik, CSU Long Beach

Spring 2013

Spring 2013 Colloquia
Date Title Speaker and Affiliation
May 3, 2013 A Brief Overview of Financial Mathematics Dr. Triet Pham, USC
April 19, 2013 Using Forcing to Obtain a Model of the Continuum Hypothesis Dr. Cynthia Northrup, UC Irvine
April 12, 2013 Cardiovascular Event Risk Dynamics Over Time in Older Patients on Dialysis: A Generalized Multiple-Index Varying Coefficient Model Approach? Dr. Damla Senturk, UCLA
March 22, 2013 Mathematical Modeling of Language Dr. Jacquelyn Rische, UC Irvine
February 15, 2013 Incidence Algebras Dr. Muge Kanuni, Bogazici University, Istanbul, Turkey
February 1, 2013 Digital Microfluidics via Electrowetting Dr. Ali Nadim, Claremont Graduate University
January 25, 2013 Exploring Ground States and Excited States of Spin-1 Bose-Einstein Condensates Dr. I-Liang Chern, National Taiwan University

Fall 2012

Fall 2012 Colloquia
Date Title Speaker and Affiliation
December 7, 2012 Numerical Modeling of Transport Processes in the Subsurface Dr. Antonella Sciortino, CSU Long Beach
November 30, 2012 Biomedical signal processing for the improvement of health care of patients with brain-related disorders Dr. Shadnaz Asgari, CSU Long Beach
November 16, 2012 Machine learning, Balance cut and Total variation Dr. Thomas Laurent, UC Riverside
November 9, 2012 Statistical Challenges in Molecular Diagnostics Dr. Ming Ji, CSU San Diego
October 19, 2012 Fluids and Boundaries Dr. James Kelliher, UC Riverside
September 28, 2012 A Little Big Problem in Graph Theory Dr. Robert Mena, CSU Long Beach
September 21, 2012 Motion of Fluids in the Presence of a Boundary Dr. Gung-Min Gie, UC Riverside

Spring 2012

Spring 2012 Colloquia
Date Title Speaker and Affiliation
May 4, 2012 Mathematics and Astronomy, Kepler's Laws of Planetary Motion Dr. Arlo Caine, Cal Poly Pomona
April 20, 2012 Shape optimization problem involving principal eigenvalue in population dynamics Dr. Chiu-Yen Kao, Claremont McKenna College
April 13, 2012 Helping Ford’s Fleet Customers Reach Their Sustainability Goals Through Optimization Dr. Daniel Reich, Ford Motor Co. Research and Advanced Engineering
February 24, 2012 How to Distinguish a Football from a Basketball Mathematically Dr. Jeremy Jankans, UC Irvine
February 17, 2012 Does a Statement of Whether Order Matters in Counting Problems Affect Students' Strategies? Dr. Todd CadwalladerOlsker, CSU Fullerton
January 27, 2012 Stability theory of polytropic gaseous stars Dr. Juhi Jang, UC Riverside