Teaching
I'm a firm believer that the best way to master something is by teaching others. I genuinely enjoy helping others understand topics that I'm personally interested in. It becomes even more rewarding when the students raise unique arguments that expand my view of the topics from different interpretations, and such discussions inspire me in my own learning. I sincerely recommend everyone to try it out!
Carnegie Mellon University
Teaching Assistant: 11-777 Multimodal Machine Learning, Spring 2025
- Responsible for students with course projects focusing on embodiment and multimodal robotics.
Teaching Assistant: 11-777 Multimodal Machine Learning, Fall 2024
- Responsible for students with course projects focusing on embodiment and multimodal robotics.
Teaching Assistant: 10-423/623 Generative AI, Fall 2024
- Leading TA team on Homework 0 PyTorch & WandB Fundamentals.
- Leading TA team on Homework 4 Multimodal Foundation Models and teaching relevant recitation.
Teaching Assistant: 10-423/623 Generative AI, Spring 2024
- Taught Recitation 0 on WandB Fundamentals.
- Co-created Homework 4 Multimodal Foundation Models for this first iteration of the course and taught relevant recitation.
Peking University Yuanpei Young Scholars
Research Mentor: Artificial Intelligence, Computer Science, and Large Language Models, Spring-Summer 2024
- Created and taught a curriculum on introductory visual generation.
- Mentored 5 students on individual research projects on multimodal visual generation and computer vision.
Research Mentor: Artificial Intelligence, Computer Science, and Large Language Models, Fall-Winter 2023
- Created and taught a curriculum on introductory computer vision.
- Mentored 6 students on individual research projects on computer vision.