Courses & Teaching
I have served as guest lecturer and course co-designer for the following courses. I am passionate about making AI research accessible to the next generation of scientists.
Advanced Topics in Deep Reinforcement Learning
Stanford CS 332 -- Guest Lecturer, Fall 2024 & Fall 2025
Graduate seminar on advanced topics in deep RL including model-based methods, offline RL, multi-agent systems, and real-world deployment challenges. I deliver 4 guest lectures per quarter on RLHF and language model alignment.
Responsible AI: Ethics, Fairness, and Safety
UC Berkeley CS 294 -- Co-designer & Guest Lecturer, Spring 2025
A cross-disciplinary graduate course covering the ethical, social, and technical dimensions of AI safety. Topics include bias in machine learning, alignment theory, governance frameworks, and responsible deployment practices.
Meta AI Research Bootcamp: LLMs in Practice
Internal Training Program -- Lead Instructor, 2023 & 2024
A 2-week intensive bootcamp for new research engineers at Meta AI covering large language model architecture, training infrastructure, evaluation methods, and safety testing. Trained 60+ engineers across two cohorts.