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Filtering is a core task in many areas of science and engineering, including weather and climate prediction, where it is known as data assimilation. It involves estimating the conditional probability distribution of a dynamical system's states given...

Minimizing energy dissipation in driven stochastic systems is a fundamental goal in nonequilibrium thermodynamics. In the linear-response (slow driving) regime, this becomes a problem of Riemannian geometry: The control space is equipped with a...

Join us for a day of interactive Math games, FREE mini pie and a chance to claim free passes to Project Hail Mary premiere! Pi Day at the Space Centre: A Perfectly Sweet Celebration of Math & Space 🥧🚀 This March 14, celebrate the most famous number...

For a finite-dimensional algebra A over an algebraically closed field k, varieties of finite-dimensional A-modules offer a geometric perspective on the homological and categorical properties of A and its modules. These varieties parametrize vector...

Abstract TBA

Tipping points (critical transitions) are abrupt, often irreversible shifts in dynamical systems that can be triggered by small changes. This talk tackles two questions: how to predict tipping early and why tipping occurs. In this talk, I will...

Weighting methods are essential tools for estimating causal effects in observational studies, with the goal of balancing pre-treatment covariates across treatment groups. Traditional approaches pursue this objective indirectly, for example, via...

Despite only comprising about a quarter of the total population of Canada, foreign-born individuals bear about three-quarters of the burden of active tuberculosis (TB) cases. To investigate the impact of immigration on the burden of TB among foreign...

Every quantitative strategy has a lifecycle. It gets discovered, deployed, crowded, and eventually either dies or evolves. These phases are only obvious in hindsight. Living through them, you never know which one you're in. This talk replays the...

Abstract TBA