M.Sc. in Computer Science
2025-present
Université de Montréal & Mila • Montréal, QC • GPA: 4.3/4.3
- Advised by Prof. Sarath Chandar and Prof. Ross Goroshin.
Academic highlights
A concise overview of my education, research experience, and teaching. Publications are on my research page, and professional experience is on my full CV (downloadable).
Education
H.B.Sc. in Computer Science and Statistics
2021-2025
University of Toronto • Toronto, ON • GPA: 3.96/4.0
- Computer Science Specialist and Statistics Major. Graduated with High Distinction.
Research Experience
Master's Research Student
2025-present
Mila & Université de Montréal • Montréal, QC
Advisor(s): Sarath Chandar, Ross Goroshin
Studying memory in continual learning in LLMs, and LLM reasoning.
Undergraduate Researcher
2024-2025
University of Toronto & Vector Institute • Toronto, ON
Advisor(s): Roger Grosse, Rahul Krishnan, Jeffrey Rosenthal
Projects on probabilistic inference for language model alignment, causal inference with normalizing flows, and Markov chain Monte Carlo optimal scaling.
Research Intern
Summer 2024
EPFL • Lausanne, Switzerland
Advisor(s): Volkan Cevher
Worked on state space models for temporal graph data (EEG/PSG signals).
Teaching
Teaching Assistant
STA130H1: Introduction to Statistical Reasoning and Data Science
University of Toronto • Winter 2025 • ≈400 students
Led weekly tutorials, held office hours, and graded exams, tutorials, and project work.
Teaching Assistant
CSC413H5F: Neural Networks and Deep Learning
University of Toronto • Fall 2024 • 115 students
Held weekly office hours, managed the course forum and other admin tasks, graded assignments and exams.