91探花

Spring 2026

鈥淐areers in Data Science for Human Health鈥�

Panelists:

• Nadia Abuelezam 鈥�09 (Math Bio)聽鈥撀�Michigan State University
• Christine Lee 鈥�11 (Math Bio)聽鈥撀�Brightside Health
• Kyle Suver 鈥�18 (CS/Math)聽鈥撀�Modern Health
• Kenneth Mitchell 鈥�24 (Math Comp Bio)聽鈥撀�Axiom Bio

This panel took place on April 16, 2026 at 4:15p.m., in HMC鈥檚 Platt Green Room.

Abstract

Join us for an engaging career panel discussion exploring how data science is transforming the future of human health. Hear from professionals working across academia and industry, as they share their career paths, discuss how they apply technical and analytical skills to real-world health challenges, and offer advice for students interested in this rapidly growing field. This event will provide insight into the many ways data science can make a meaningful impact on human well-being.

In collaboration with the聽Innovation Accelerator Lab for Emerging Health Technologies, and the聽Innovation Accelerator Lab for Data Science and Social Impact.

鈥淭he Finite and the Infinite鈥�

Heather Brooks is an Assistant Professor of Mathematics at 91探花.

This lecture took place on April 9, 2026 at 4:15p.m., in HMC鈥檚 Shanahan Center 3481.

Abstract

Convergence is the language through which the finite and the infinite converse with each other. This conversation can go both ways: we can understand the infinite by studying the finite (part 1), and the finite by studying the infinite (part 2).聽

Part 1: We鈥檒l see a situation where the finite accurately describes the infinite. I鈥檒l introduce a classical model of opinion dynamics that鈥檚 difficult to analyze. It turns out this model can be thought of as the limit of a family of models as a certain parameter approaches infinity. We鈥檙e able to show that our model captures important dynamics of the 鈥渋nfinite鈥� model 鈥� for finite parameter values!聽聽聽

Part 2: We鈥檒l see how dynamics on infinite networks tell us about dynamics on finite networks.聽Studying large networks of interacting agents can be challenging.聽A convenient strategy is to use infinitely large networks (the 鈥渃ontinuum limit鈥�). We do this with functions called graphons which are the limits of sequences of graphs. Under suitable conditions, the solutions of the graphon continuum limit model converge to the solutions of the equivalent models on finite-size networks.聽聽

Do you feel like you have to choose between applied or theoretical math? Between loving graph theory or differential equations? After this talk, I hope you鈥檒l see that with convergence we can bridge the gaps.

鈥淎n Unlikely of Events: My Journey to Batch Means Estimators鈥�

No茅 Vidales is an Assistant Professor of Mathematics at Cal Poly Pomona.

This lecture took place on March 26, 2026 at 4:15p.m., in HMC鈥檚 Shanahan Center 3481.

Abstract

In this talk I will introduce my research on efficient multivariate variance estimators
for serially correlated data. A family of partial-overlapping batch means estimators is introduced, which offers a tradeoff between computational and variance efficiency. The family is indexed by a shift parameter which determines the overlap between batches and is a generalization of non-overlapping batch means and overlapping batch means. Through the talk I aim to connect my research to my journey to statistics with two goals: clarifying abstract concepts and showcasing a non-traditional path to academia.

鈥淲hy is quantum mechanics so hard to describe?: A Computational lens on the problem鈥�

Chinmay Nirkhe is an Assistant Professor at the School of Computer Science and Engineering at the University of Washington.

This lecture took place on March 5, 2026 at 4:15 p.m., in HMC鈥檚 Shanahan Center 3481.

Abstract

Why is quantum mechanics so hard to describe? In this talk, I鈥檒l argue that this mystery can be explained through a computational lens. I鈥檒l introduce a perspective on quantum mechanics inspired by theoretical computer science and complexity theory, asking questions like: How hard is it to describe a quantum state? How hard is it for a (quantum) computer to certify properties of physical systems like local Hamiltonians? These questions naturally lead to QMA, the quantum analogue of NP (from complexity theory), where proofs themselves are quantum states and familiar ideas like verification and efficiency take on surprising new meanings.
I鈥檒l sketch recent research ideas (by myself and the community) showing how quantum states can hide information in ways that defeat classical reasoning, how circuit depth and query complexity limit what we can learn about them, and what differentiates quantum proofs and states from their classical counterparts. The goal of this seminar is to invite you into thinking about quantum mechanics and physics from a new computational vantage point.

鈥淔inite-dimensionality in fluids and applications鈥�

Vincent Martinez is an Associate Professor of Mathematics at City University of New York Hunter College.

This lecture took place on February 19, 2026 at 4:15 p.m., in HMC鈥檚 Shanahan Center 3481.

Abstract

Fluids can be described by partial differential equations (PDEs). As such, their solutions are typically given by functions of several variables. In the modern theory of PDEs, solutions are viewed as belonging to vector spaces whose elements are functions; these spaces are typically infinite-dimensional. For instance, if one insists on solutions having 鈥渇inite energy,鈥� then it is often natural to assume that solutions should be elements of the vector space of square-integrable functions. This talk will present the fundamental equations of incompressible fluids in a simplified setting that allows one to see its infinite-dimensional nature, but nevertheless demonstrate that their long-time behavior is, in some sense, finite-dimensional. We will then discuss the importance of this property in the context of turbulence and weather prediction.

鈥淭ilings on Polyhedra and Polyhedra on Tilings鈥�

Peter Kagey is an Assistant Professor of Mathematics at Cal Poly Pomona.

This lecture took place on February 12, 2026 at 4:15 p.m., in HMC鈥檚 Shanahan Center 3481.

Abstract

A talk in two acts. In the first act, Tilings on Polyhedra, we count a family of tilings first enumerated by the artist M. C. Escher, and then lift these questions into three dimensions. This allows us to answer questions such as: How many ways can we arrange panels on a soccer ball?

The second act, Polyhedra on Tilings, focuses on joint work with Prof. Andr茅s, describing an algorithm to count 鈥済eneralized polyforms.鈥� This algorithm counts objects such as the number of pieces in the (166 + 4)-piece 3D puzzle Hexacube, donated to the HMC Math Department by HMC alum Andy Niedermaier (鈥�04), or the number of ways to arrange the building blocks of TOWARD, a temporary sculpture built in 2024 outside of Jacobs.

Fall 2025

鈥淎nalyzing blocked randomized experiments鈥�

Harrison Li is an Assistant Professor of Mathematics at 91探花

The lecture took place on November 20, 2025 at 4:15 p.m., in HMC鈥檚 Shanahan Center 3481.

Abstract

I recently finished a multi-year project with collaborators analyzing an experiment to evaluate the effectiveness of a government job training program for unemployment insurance (UI) recipients in Rhode Island. In presenting the results, I will talk about some methodological considerations that arose organically in this context. Specifically, I will provide an introduction to the potential outcomes framework and show how it enables us to formulate a precise mathematical description of what exactly it is we want to estimate when running a randomized experiment. Then, we will see some principled and less principled methods for performing this estimation. Some directions for future research, including opportunities for students to get involved, will be discussed at the end.

鈥淓numerative Geometry, Tropical Geometry, and Matroids鈥�

Dagan Karp is a Professor of Mathematics at 91探花

The lecture took place on November 6, 2025 at 4:15 p.m., in HMC鈥檚 Shanahan Center 3481.

Abstract

In this talk I鈥檒l attempt to give a friendly introduction to enumerative geometry as revolutionized by ideas from theoretical physics, discover how tropical geometry arises rather naturally in this context, and explore how matroids are inexorably involved.

鈥淰oting and Linear Algebra: Connections and Questions鈥�

Michael Orrison is a Professor of Mathematics at 91探花

The lecture took place on October 23, 2025 at 4:15 p.m., in HMC鈥檚 Shanahan Center 3481.

Abstract

Voting is something we do in a variety of settings and in a variety of ways, but it can often be difficult to see relationships between the different voting procedures we use. In this talk, I will discuss how simple ideas from linear algebra and discrete mathematics can sometimes be used to unify different voting procedures, and how doing so leads to new insights and new questions in voting theory.

鈥淎pplying to Graduate Programs in Mathematics or Computer Science鈥�

Lucas Bang is an Associate Professor of Computer Science, Heather Brooks is an Assistant Professor of Mathematics, and Andr茅s R. Vindas Mel茅ndez is an Assistant Professor of Mathematics.

The lecture took place on September 4, 2025 at 7 p.m., in HMC鈥檚 Shanahan Center 3481.

Abstract

Are you considering graduate school in mathematics or computer science? Thinking of applying this Fall? Are you unsure where to start? This seminar will provide an overview of the application process, from deciding whether graduate school is the right path for you to preparing strong applications. We will discuss how to choose programs, request letters of recommendation, write personal statements, and more. The session will also highlight differences between master鈥檚 and Ph.D. programs, funding opportunities, and what to expect once admitted. The goal is to demystify the process and equip you with practical strategies to navigate applications with confidence.

Spring 2025

鈥淪olving the Race in Backgammon鈥�

Art Benjamin is a Professor of Mathematics at 91探花

The lecture took place on April 28, 2025 at 4:15 p.m., in HMC鈥檚 Shanahan Center 3481.

Abstract

Backgammon is perhaps the oldest game that is still played today. It is a game that combines luck with skill, where two players take turns rolling dice and decide how to move their checkers in the best possible way. It is the ultimate math game, where players who possess a little bit of mathematical knowledge can have a big advantage over their opponents. Players also have the opportunity to double the stakes of a game using something called the doubling cube, which鈥攚hen used optimally鈥攍eads to players winning more in the long run. Optimal use of the doubling cube relies on a player鈥檚 ability to estimate their winning chances at any stage of the game.

When played to completion, every game of backgammon eventually becomes a race, where each player attempts to remove all of their checkers before their opponent does. The goal of our research is to be able to determine the optimal doubling cube action for any racing position, and approximate the game winning chances for both sides. By calculating the Effective Pip Count for both players and identifying the positions鈥� Variance Types, we arrive at a reasonably simple method for achieving this which is demonstrably superior to other popular methods. This method is currently being used by some of the best players in the world.

鈥淎s Flat as Possible鈥�

Jon Jacobsen is a Professor of Mathematics at 91探花

The lecture took place on April 14, 2025 at 4:15 p.m., in HMC鈥檚 Shanahan Center 3481.

Abstract

Imagine you鈥檙e tasked with creating the flattest possible surface spanning a curved wire loop. Where would you begin? Nature solves this problem efficiently with soap films, so perhaps they are the flattest. Or are they? What does it mean to be as flat as possible? If a surface is not initially flat, how can we evolve it over time to become flatter, and in the most efficient way? Join us as we straighten out these questions and take a mathematical approach to discovering what it truly means to be as flat as possible.

鈥淭he Intermediate Value Theorem鈥�

Alfonso Castro is a Professor of Mathematics at 91探花

The lecture took place on March 31, 2025 at 4:15 p.m., in HMC鈥檚 Shanahan Center 3481.

Abstract

This talk will be a tour spanning from The Mean Value Theorem to the Lefschetz fixed point formula. Generalizations, equivalences, and applications of the Intermediate Value Theorem will be discussed in the context of establishing the existence of solutions to boundary value problems for differential equations.

鈥�A Tour of Randomized Iterative Methods for Solving Large-Scale Linear Systems鈥�

Jamie Haddock is an Assistant Professor of Mathematics at 91探花

The lecture took place on March 10, 2025 at 4:15 p.m., in HMC鈥檚 Shanahan Center 3481.

Abstract

Solving a large-scale linear system Ax=b, just like the problem we meet in Math 73, is a fundamental problem encountered all over the sciences, engineering, and more recently, data science and machine learning. Recently, randomized iterative methods have gained popularity for this type of problem as they can be implemented using only pieces of the problem data (e.g., rows or columns of A) in each iteration and can be easily implemented in parallel computing environments. This talk will give a tour of some popular families of methods which focus on using randomly sampled rows and columns of the matrix A in each iteration, and will give insights into how randomization actually makes the analysis of these methods easier.

鈥淏iologically motivated sorting problems, and their connections to permutations and regular graphs鈥�

Mikl贸s B贸na is a Professor of Mathematics and Distinguished Teaching Scholar at the University of Florida.

The lecture took place on February 20, 2025 at 4:15 p.m., in HMC鈥檚 Shanahan Center 3460.

Abstract

We will survey some sorting algorithms whose original motivation came from evolutionary biology, more precisely from research attempting to measure the distance between various genomes. Some questions related to these algorithms are very easy to understand, but very hard to solve. They can, unsurprisingly, be translated into the language of permutations, and then to the language of regular graphs. Much more surprisingly, permutations that are the products of maximal cycles play a major role in this area, and that makes sophisticated tools from algebraic combinatorics applicable.