Invited Lectures and Talks

1. Fall 2019- 2024 (except 2022-2024): Fall 2019-2024: Invited by Prof. Ross Otto to deliver a guest lecture in PSYC 513, focusing on reinforcement learning from fundamental concepts to planning techniques, tailored for psychology students.
2. November 2023: Presented our work on “Continual Reinforcement Learning in Hippocampally-Inspired ML Models” at the Inter-Lab Symposium, a seminar engaging NeuroAI labs at McGill University, attended by both experimental and computational neuroscience researchers.
3. November 2025: Presented my work on “Brain-Inspired Continual Reinforcement Learning Agents” during a visit to Prima Mente, a NeuroAI startup in London, where I shared insights on how neuroscience principles can inform the design of adaptive and memory-efficient RL agents.
4. November 2025: Presented my talk “Brain-Inspired Continual Reinforcement Learning Agents” at Prof. Rui Ponte Costa’s lab, University of Oxford, during my visit to discuss ongoing research at the intersection of neuroscience and reinforcement learning.

Teaching Assistant

I have been a teaching assistant for the following courses at McGill University (listed by recent to past):

1. COMP 551 - Applied Machine Learning (Fall 2021) taught by Prof. Siamak Ravanbakhsh.
2. COMP 596 - Brain inspired AI (Winter 2020, 2021) taught by Prof. Blake Richards.
3. COMP 250 - Introduction to Computer Science (Fall 2021) taught by Giulia Alberini.
4. COMP 251 - Algorithms and Data Structures (Fall 2019) taught by Prof. Jerome Waldispuhl.
5. COMP 424 - Artificial Intelligence (Winter 2019) taught by Prof. Jackie Cheung.