Past Events

How roots of a polynomial evolve under repeated differentiation is a classical question, which goes back to Gauss, Lucas, Marcel Riesz and many others. The dynamics can be described by a partial differential equation, formally derived by Stefan...

Let G be a finite group acting transitively on X. We say g, h ∈ G are intersecting if gh -1 fixes a point in X . A subset S of G is said to be an intersecting set if every pair of elements in S intersect. Cosets of point stabilizers are canonical...

Motivated by recent work with biologists, I will showcase some mathematical results on Turing instabilities in complex domains. This is scientifically related to understanding developmental tuning in a variety of settings such as mouse whiskers, human...

In longitudinal studies, we measure the same variables at multiple time-points to track their change over time. The exact data collection schedules (i.e., time of participants' visits) are often pre-determined to accommodate the ease of project...

Anderson operator H on a closed Riemannian surface is the random perturbation of the Laplace operator by a space white noise random potential - a distribution of regularity

Joint work with Christophe Garban. The discrete Coulomb gas is a model where an integer amount of charged particles are put on the $d$-dimensional grid. In this talk, I will discuss the basic properties of the Coulomb gas, its connection with other...

The fall meeting of Oregon Number Theory Days will take place on Saturday, October 2 at Portland State University. This is a triannual seminar rotating between Oregon State University, Portland State University, and the University of Oregon...

The theory of optimal transport (OT) gives rise to distance measures between probability distributions that take the geometry of the underlying space into account. OT is often used in the analysis of point cloud data, for example in domain adaptation...

Active matter systems, ranging from liquid crystals to populations of cells and animals, exhibit complex collective behavior characterized by pattern formation and dynamic phase transitions. However, quantitative classification is challenging for...

The theory of optimal transport (OT) gives rise to distance measures between probability distributions that take the geometry of the underlying space into account. OT is often used in the analysis of point cloud data, for example in domain adaptation...