Spring 2025: Instructor for 17-740 (Algorithmic Foundations of Interactive Learning)
Fall 2024: TA for 15-889 (Advanced Topics in Reinforcement Learning)
Fall 2022: TA for 10-732 (Robustness and Adaptation in Shifting Environments)
Causal Confounds in Sequential Decision Making
- Slides from a lecture I gave as part of Cornell's Learning for Robot Decision Making course.
Leveraging Human Input for Training Self-Driving Cars
- Slides from a lecture I gave as part of CMU's Human-AI Interaction Course.
Spring 2019: TA for CS 189 (Introduction to Machine Learning)
Fall 2018, Spring 2019: Instructor for Impact of AI DeCal
- Week 1: A Brief History of AI
- Week 2: A Survey of Modern ML
- Week 3: The Data Revolution
- Week 4: A World of Pure Automation
- Week 5: The Self-Driving Cars of Today
- Week 6: Optical Illusions for Neural Networks
- Week 7: Artificially Generated Data
- Week 8: Bias in AI
- Week 9: Artificial General Intelligence
- Week 10: Human-Compatible AI