Past Events

Methane's short lifespan, high Global Warming Potential, and high anthropogenic emissions level make it the most potent greenhouse gas in terms of rapidly reducing global warming. The oil and gas sector is the most significant contributor to methane...

Building trees to represent or to fit distances is a critical component of phylogenetic analysis, metric embeddings, approximation algorithms, geometric graph neural nets, and the analysis of hierarchical data. We summarize several recent efforts to...

Translational tiling is a covering of a space (such as Euclidean space) using translated copies of one building block, called a "translational tile'', without any positive measure overlaps. Can we determine whether a given set is a translational tile...

Equivariant elliptic cohomology generalizes from equivariant cohomology and equivariant K-theory. It has a rich structure and connections to quantum groups, mathematical physics, enumerative geometry, and algebraic combinatorics. Recently, Okounkov...

Using representations of functional data can be more convenient and beneficial in subsequent statistical models than direct observations. These representations, in a lower-dimensional space, extract and compress information from individual curves...

Zero forcing is a combinatorial game played on a graph with the ultimate goal of changing the colour of all the vertices at a minimal cost. Originally this game was conceived as a one-player game, but later a two-player version was devised in...

In this talk I will discuss recent work resolving Buchi's problem, which has implications for Hilbert's Tenth Problem. In particular, we show that if there is a tuple of five integer squares (x12,x22,x32,x42,x52)(x12​,x22​,x32​,x42​,x52​)xi+22−2xi+12...

In this talk, I will discuss recent work in which we establish the rigidity of the Hawking mass for stable constant mean curvature spheres, addressing a problem posed by Robert Bartnik in 2002. More precisely, we demonstrate that any complete...

What constitutes a fair algorithm and the ethical use of data is context specific. Algorithms are not neutral and optimization choices will reflect a specific value system and the distribution of power to make these decisions. Data also reflect...

Derivative-free optimization (DFO) methods are a class of optimization methods that do not use the derivatives of the objective or constraint functions. Model-based DFO methods are an important class of DFO methods that are known to struggle with...