Past Events

KPZ universality describes a scaling behaviour that differs from the central limit theorem by the size of the fluctuations (cube-root instead of square-root) and the limiting distribution. Instead of the Gaussian, the Tracy-Widom distributions from random matrix theory appear in the limit. It is a long standing conjecture that the KPZ universality class contains a large group of models, including particle systems and polymer models.

Join us for a Job Search Workshop with Amoy Marshall Green, a career advisor for CEPS.  This workshop will focus on preparation for data science related positions, but the job search techniques and tools would apply for M&S graduates as well! Amoy will discuss ways to achieve your post-graduate career goals through an interactive discussion of job search topics like LinkedIn, networking, informational interviews, elevator pitches, tech job boards, job search techniques, and more. Bring your lunch, job search material, and questions!  

This Biomathematics seminar will be presented by Valeria Telles (MSc Mathematics Student). Carbon capture, utilization, and storage (CCUS) is a key technology in reducing global anthropogenic CO2 emissions that affect climate change. Studies have shown that aqueous solutions of alkanolamines, such as monoethanolamine (MEA), are promising solvents for post-combustion CO2 capture by reactive absorption.

Join us for a colloquium presented by Dr. Pratheepa Jeganathan! Refreshments provided.

Speaker: Van Thinh Nguyen, Department of Civil and Environmental Engineering, Seoul National University, South Korea  

Abstract: 

CANDIDATE: Matthew Baxter

Arun Moorthy (of Trent University) will be providing a talk on the process of analyzing seized drugs and discuss some of the interesting mathematical modeling and statistical inference (and basic computing) problems that one encounters in the analysis of forensic evidence. Arun will also discuss and reflect on their experience working in a large multidisciplinary research team at a national laboratory, transitioning between research areas, and the challenge of disseminating actionable solutions to community stakeholders.   We hope to see you there!  

Join us for a presentation provided by Dr Rohan Alexander, Assistant Professor in the Faculty of Information and the Department of Statistical Sciences (University of Toronto)  

This presentation, aimed at a broad spectrum of researchers, highlights the latest advancements in the acceleration of first-order optimization algorithms, a field that currently attracts the attention of many research teams worldwide. First-order methods, such as gradient descent or stochastic gradient, have gained significant popularity. The seminal development in this area can be attributed to Yurii Nesterov, who proposed a class of accelerated gradient methods in 1983 that demonstrated faster global convergence rates than gradient descent.