Konstantinos Christopher Tsiolis

Hello there! I am a second-year PhD student at the Department of Statistical Sciences at the University of Toronto and the Vector Institute under the supervision of Murat Erdogdu. I also currently serve as President of the Statistics Graduate Student Union at the University of Toronto.

I am broadly interested in the rigorous theoretical analysis of machine learning methods. The primary objective of my current research is to characterize learning dynamics under stochastic gradient descent (SGD) using tools from high-dimensional statistics and random matrix theory, with an eye towards feature learning and scaling laws.

Previously, I graduated with an MSc in Mathematics and Statistics and a BSc in (Honours) Mathematics and Computer Science at McGill University in my beautiful hometown of Montreal. During my MSc, I wrote a thesis on contrastive self-supervised learning methods under the supervision of Adam Oberman. During my BSc, I worked on problems in natural language processing (NLP) under the supervision of Jackie Cheung at Mila and the McGill Reasoning and Learning Lab.

Contact: kc (dot) tsiolis (at) mail (dot) utoronto (dot) ca