I will join the Department of Mathematics at National University of Singapore as an Assistant Professor in July 2024.

Join Us

It is an exciting time to be a researcher. I believe the recent rise of large language models is just the start of a new era of artificial intelligence. I am interested in:

• Building modern scalable AI for scientific problems, including multi-physics prediction, control design, automatic theorem proving, etc.
• Some important fundamental questions in AI, including how emergent capabilities arise, how to generalize from easy to hard tasks, etc.

These application challenges are connected by the fundamental questions underlying. I am looking for motivated students and postdocs to explore with me. If you are interested, please send me an email with your CV and a brief description of your research interests.

Mentoring Philosophy

• Culture: I value culture as the most important thing in the group. I aim to build a group with a culture of integrity, passion, open-mindedness, active communication and collaboration. Diverse backgrounds are embraced.
• Research Goal: I desire research that not only addresses issues but also pioneers a shift in the community’s viewpoint on the issues.
• Systematic: Just like other research fields, AI research should be organized in a systematic way.

Reading Materials

Here I want to share some of my favorite books and articles.

• The Bitter Lesson by Rich Sutton (the guiding principle of my research)
• Software Engineering at Google by Titus Winters, Tom Manshreck, and Hyrum Wright
• Why Greatness Cannot Be Planned, by Kenneth Stanley and Joel Lehman
• Amp it up, by Frank Slootman (It’s very interesting to compare this book with “Why Greatness Cannot Be Planned”)