Supervision
Advertisement: I’m happy to hold (remote/in-person) visitors, my previous visitors are here. Please read For Prospective Students before emailing me. Attaching a slide/review that provides a high-level overview of potential directions for our work together is a bonus item!
Due to the large amount of emails, I may miss some of the emails. The best way to approach me is by filling out the form. If you want to do a summer intern, please remember to email me!
For Ph.D. Applicants I’m actively looking for Ph.D. students starting in Fall 2024. Although Ph.D. admissions to Northwestern IEMS are handled at a department-wide level, not by me individually, candidates with undergraduate backgrounds in applied mathematics/computational physics, computer science, or statistics are encouraged to contact me by email with the following documentation:
- a current CV, which should include your previous research projects
- Short answer to the questions in For Prospective Students
- A slide/review that provides a high-level overview of potential directions for our work together, with an emphasis on areas of overlap between our interests. (theoretical/computational are both welcome)
I will dedicate 30 mins every week for junior PhD/master/undergraduate students, if you would like to chat about life, career plan, or research ideas related to AI/ML, feel free to email me to schedule a meeting. I encourage students from underrepresented groups to reach out and will prioritize these meetings. File the form.
Cooperating Undergraduate Students
- 2021: Wenlong Ji (PKU -> Stanford Statistics, neural collapse, paper), Haoxuan Chen (Caltech -> Stanford ICME, minmax optimality of solving PDE, paper)
- 2022: Jikai Jin (PKU -> Stanford ICME, minmax optimality of kernel operator learning, paper)
- 2024: Kaizhao Liu (a fast bootstrapping method, a first author paper submitted to ICML, PKU-> ?)
- 2025: Zexi Fan (machine learning for rare event and stochastic simulation, PKU-> ?)