Past Events

Mathematical modeling, when combined with diverse epidemiological datasets, provides valuable insights for understanding and controlling infectious diseases. In this talk, I will present a series of case studies demonstrating how the synergy between...

This talk will discuss two inference problems in dynamical systems, both motivated by applications in mathematical biology. First, we will discuss the classical gene regulatory network inference problem for time-stamped single-cell datasets and...

Given a graph G, its genus distribution is the sequence whose k-th term is the number of 2-cell embeddings of G in the orientable surface of genus k. The Log-Concavity Genus Distribution (LCGD) Conjecture states that the genus distribution of every...

We will discuss extensions of random transpositions to other conjugacy classes. Our main probabilistic result is the total variation cutoff profile for these random walks, under a mild assumption on the number of fixed points. The proof is based on a...

In this talk, I will explain the concepts of limits and colimits in the context of infinity categories. As a warm-up, I will start by recalling these notions in the setting of ordinary categories. I will also compare these concepts with homotopy (co...

The values of Dirichlet L-functions at s=1 have long attracted considerable attention due to their deep algebraic and geometric significance. In contrast, the logarithmic derivatives of Dirichlet L-functions at s=1, which play a key role in the study...

Understanding the dynamics of cancer cell migration is crucial for developing effective treatment strategies. The "go-or-grow" hypothesis posits a trade-off between proliferation and migration in cancerous cells. In this talk, we present a...

In 1966, Tate proposed the Artin-Tate conjectures, which expresses special values of zeta function associated to surfaces over finite fields. Conditional on the Tate conjecture, Milne–Ramachandran formulated and proved similar conjectures for smooth...

In this talk, we will discuss several inequalities in convex geometry inspired by sumset estimates in additive combinatorics and inequalities in information theory. We begin by investigating sharp constants in convex geometry analogues of Plünnecke...

Christos Thrampoulidis, the 2024 PIMS/UBC Early Career Award Winner, will present a talk. Abstract Deep learning models are often seen as black boxes, their complexity stemming from integrating numerous architectural components across multiple layers...