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

Rui Ding

Rui Ding

Postdoc · Co-hosted with Junhong Chen

AI for materials discovery

Oualid Bougzime

Oualid Bougzime

Incoming Postdoc · Co-hosted with Junhong Chen

ZD

Zixin Ding

PhD Student

active learning · AI + science · prompt optimization

Zhenya Liu

Zhenya Liu

PhD Student

reinforcement learning · curriculum learning

Yang (Justin) Meng

Yang (Justin) Meng

PhD Student

reinforcement learning · AI + science · continual learning

Diantong Li

Diantong Li

Incoming PhD Student

Bayesian optimization

Undergraduate & master's researchers

Alumni — PhD students & postdocs

Alumni — undergraduate & master's

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.