I’ve been fortunate to receive amazing mentorship from researchers like Pang Wei Koh, Shiori Sagawa, and Marco Tulio Ribeiro. If I can be helpful in your journey (e.g. by suggesting classes or chatting about grad school), feel free to email me at my first name [at] cs.stanford.edu.
Teaching
- Spring 2023, CS221, Artificial Intelligence: Principles and Techniques
- Winter 2023, CS224N, Natural Language Processing with Deep Learning
- Fall 2022, CS221, Artificial Intelligence: Principles and Techniques
- Winter 2020, CS106B, Programming Abstractions
- Fall 2019, CS106B, Programming Abstractions
- Winter 2019, CS106A, Programming Methodologies
Service
- 2024-2026, CURIS, organizer
- 2023-2026, Student Application Support Program (SASP), organizer
- 2023-2025, Stanford CS mentoring program, mentor
- 2023-2024, Women’s Community Center STEM mentorship program, mentor
- 2023-2024, Deep Learning Portal, mentor
Meta-Research
I’m always looking to learn from how others approach research. Here are some resources I’ve found really helpful.
- Organizing and evaluating research ideas (Marco Tulio Ribeiro)
- Maithra Raghu’s reflections
- How to be a happier grad student (Kevin Gimpel)
- An opinionated guide to ML research (John Schulman)
- Research taste exercises (Chris Olah)
- Principles of effective research (Michael Nielsen)
- Principles for productive group meetings and Advice for authors (Jacob Steinhardt)
- Michael Bernstein’s course materials, especially thoughts on vectoring
- Tips for undergraduate researchers (Alex Tamkin)