teaching

Courses

AI Capstone I (CS 506)   ·   Fall 2024 (TA) Alan Fern

AI Capstone II (CS 506)   ·   Winter 2024 (TA) Alan Fern

Analysis of Algorithms (CS 325)   ·   Winter 2024 (TA) Maher Elshakankiri

Intro to Deep Learning (CS 499)   ·   Winter 2024 (Guest lecture on RL) Stefan Lee

NLP with Deep Learning (AI 539)   ·   Spring 2025 (TA) Stefan Lee

AI Capstone III (CS 506)   ·   Spring 2025 (TA) Alan Fern

Reading Groups

Abstractions in Decision Making (syllabus)   Apr 2024 – Jun 2024
Lead Organizer, Oregon State University

• Organized and led a reading group on state and action abstractions in decision making.
• Hosted invited talks from researchers at Google DeepMind (David Abel) and UT Austin (Zizhao Wang).

Hands-on Decision Making (github)   Sep 2024 – Dec 2024
Co-Lead Organizer, Oregon State University

• Co-organized and led a series of sessions on implementing decision making algorithms from scratch.
• Conducted hands-on debugging sessions on reinforcement learning codebases.