Tengyu MaCo Founder

United States - Palo Alto, California

homepage: https://ai.stanford.edu/~tengyuma/

I am an assistant professor of computer science at Stanford. My research interests broadly include topics in machine learning, algorithms and their theory, such as deep learning, (deep) reinforcement learning, pre-training / foundation models / large language models, robustness, non-convex optimization, distributed optimization, and high-dimensional statistics.

Alumni of my Stanford lab:
Ananya Kumar (Ph.D. 2023, co-advised with Percy Liang, research scientist at OpenAI)
Yining Chen (Ph.D. 2023, research scientist at OpenAI)
Shibani Santurkar (postdoc, now research scientist at OpenAI)
Colin Wei (Ph.D. 2022, now research scientist at OpenAI)
Honglin Yuan (Ph.D. 2022, now quantitative researcher at Citadel Securities)
Yuanzhi Li (postdoc, now assistant prof. at CMU)

Current Ph.D. students and post-docs
Garrett Thomas
Sang Michael Xie (co-advised with Percy Liang)
Jeff Z. HaoChen
Kefan Dong
Hong Liu
Zhiyuan Li (postdoc)
Margalit Glasgow (co-advised with Mary Wootters)
Arvind Mahankali
Neil Band (co-advised with Tatsunori Hashimoto)