Past Events

Richard Guy's book "Unsolved Problems in Number Theory" was one of the first mathematical books I owned. I will discuss a selection of my favorite problems from the book, together with some of the progress that has been made on them in the 30 years...

One of the challenges of the accurate simulation of turbulent flows is that initial data is often incomplete. Data assimilation circumvents this issue by continually incorporating the observed data into the model. A new approach to data assimilation...

In pursuit-evasion games, a set of pursuers attempts to locate, eliminate, or contain an evader in a network. The rules, specified from the outset, greatly determine the difficulty of the questions posed above. For example, the evader may be visible...

In this joint work with X. Zhou, we exhibit the first examples of non-generic metrics on the three sphere in which the varifold associated with a two-parameter min-max construction must be a multiplicity two minimal surface. This is proved by a new...

Closely motivated by financial considerations, we develop an integration theory which is not classical i.e. it is not necessarily associated with a measure. The base space, denoted by $\mathcal{S}$ and called a trajectory space, substitutes the set $...

Abstract: Skeletal muscle structure and the changes that occur in diseased muscle tissue cross several physical length scales. Diseased muscle tissue often has alterations on the microscopic level to individual contractile components inside the...

In the Lipschitz extension problem we are given a pair of metric spaces X,Y and ask for the smallest K such that for any subset A of X every L-Lipschitz mapping from A to Y can be extended to a KL-Lipschitz mapping from X to Y. Most of this talk will...

The intrinsic infinite-dimensional nature of functional data creates a bottleneck in the application of traditional classifiers to functional settings. These classifiers are generally either unable to generalize to infinite dimensions or have poor...

Are you looking for professional development and portfolio-building opportunities in the data science sector? Join data science enthusiasts for the Vancouver DataJam: a virtual event with a focus on supporting members of gender and racial minorities...

Large systems of interacting particles (or agents) are widely used to investigate self-organization and collective behavior. They frequently appear in modeling phenomena such as biological swarms, crowd dynamics, self-assembly of nanoparticles and...