Interactive Learning Systems
People
The Interactive Learning Systems group at the University of Chicago works broadly on active learning, Bayesian optimization, reinforcement learning, and machine learning for scientific discovery.
PhD students & postdocs
Undergraduate & master's researchers
- Jade Cui — Undergraduate, CS
- Purpleline Zhang — Undergraduate, CS & Economics
- Ricky Bao — Undergraduate, CS
- William Li — Undergraduate, CS
- Linus Gan — Undergraduate, CUHK Shenzhen, CS SSRF Summer 2026
- Hao Shi — Master's Student, MPCS
Alumni — PhD students & postdocs
- Xuefeng Liu — PhD, 2026, co-supervised with Rick Stevens → Stanford University (Postdoc)
- Ziyu Ye — PhD, 2025 → Google DeepMind
- Fengxue Zhang — PhD, 2025 → Google
- Chaoqi Wang — PhD, 2025 → xAI
- Chong Liu — Postdoc, 2024 → University at Albany, SUNY (tenure-track assistant professor)
- Zhuokai Zhao — PhD, 2024 → Meta AI
- Renyu Zhang — PhD, 2024, co-supervised with Robert Grossman → KLA
Alumni — undergraduate & master's
- Diantong Li — CS, BS 2026, visiting student from CUHK → PhD program at UChicago
- Justin Meng — CS & Applied Math, BS 2025 → PhD program at UChicago
- Hanlei Wen — CS, Spring 2025
- Zhenya Liu — MCAM, MS 2024 → PhD program at UChicago
- Tony Zong — Stats, BS 2024 → PhD program at Johns Hopkins University
- Tony Zhu — BS 2023
- Zhongnian Tao — CS, BS 2023
- Noame Qin — MCAM, MS 2022
- Chinmaya Mahesh — BS 2022, UIUC
- Yair Atlas — BS 2022
- Fangjian (Roy) Wu — CAM, BS 2021
- Jiaona Ma — MPCS, MS 2020
- Hank Zhang — MPCS, 2020 → PhD program at NYU (Shanghai track)
- Zifeng Kang — MPCS, MS 2020
- Louise Fan — BS 2020
- Fengxue Zhang — MPCS, 2020 → PhD program at UChicago
- Kaustubh Vinchure — MPCS, 2019
Joining the lab
Prospective PhD students: apply to the PhD program in Computer Science at UChicago and mention my name in your research statement. I review applications through the department; there is no need to email separately.
UChicago students: if you are interested in research on interactive learning, Bayesian optimization, reinforcement learning, or AI for science, email me with your CV, transcript, and a short note on which of our papers interests you.




