Yi Liu
Academic Background Ph.D. in Statistical Machine Learning, University of Alberta (2017–2023) Research Interests Reinforcement Learning, Differential Privacy and Functional Data Analysis
Academic Background Ph.D. in Statistical Machine Learning, University of Alberta (2017–2023) Research Interests Reinforcement Learning, Differential Privacy and Functional Data Analysis
About I had my PhD in Statistics from Simon Fraser University in 2020. After completing my doctoral studies, I joined Brock University as an Assistant Professor and later joined York University in 2024 in the same role. My research focuses on sports analytics, machine learning, large language models, functional data analysis, and nonparametric statistics. I […]
Research Interests The apparent absence of antimatter in the Universe indicates that there is something fundamentally missing in our current understanding. Using magnetically confined antihydrogen (which is the simplest anti-atom, made of an anti-proton and a positron), I search for differences with respect to ordinary matter, both in the electromagnetic and gravitational sectors, with the […]
Biography Professor McFarland received his ScB in mathematics and physics from Brown University in 1989. He did his graduate work in physics at the University of Chicago and received his MS in 1991 and his PhD in 1994. He held a Lederman Fellowship at Fermi National Accelerator Laboratory from 1994 to 1998 and joined the […]