PhD Student
Campus
- Downtown Toronto (St. George)
Fields of Study
- Data Science
- Mathematical Finance
- Theoretical Statistics
Areas of Interest
- Machine Learning
- Data Science
- Statistical Theory
Biography
I am a Ph.D. candidate in the Department of Statistical Sciences at the University of Toronto, with an affiliation at the Vector Institute. My research interests lie in statistical methodology and learning theory for sequential decision-making. Specifically, my work focuses on developing theories and methodologies for multi-agent reinforcement learning.