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Team

Sunlab students, collaborators, and alumni.

Sunlab brings together computer science students, clinical collaborators, biomedical researchers, and alumni working on AI for healthcare.

Dr. Jimeng Sun

Principal investigator

Jimeng Sun

Health Innovation Professor, Siebel School of Computing and Data Science and Carle Illinois College of Medicine, University of Illinois Urbana-Champaign.

Current members

PhD students

Hanyin Wang

PhD student · 2024-present

Clinical large language models; AI validation and stewardship

John Wu

PhD student · 2024-present

Clinical interpretable models; PyHealth

Patrick Jiang

PhD student · 2023-present

Clinical knowledge graphs, clinical foundation models, reinforcement learning for healthcare

Jiacheng Lin

PhD student · 2023-present

Foundation models, LLMs, multimodal models, reinforcement learning, healthcare and biomedicine

Chufan (Andy) Gao

PhD student · 2022-present

Clinical NLP, tabular learning, information extraction, machine learning for healthcare

Siddhartha Laghuvarapu

PhD student · 2022-present

AI for drug discovery, uncertainty quantification, generative modeling, multimodal representation learning

Previous members

Sunlab alumni and collaborators

A partial list of previous students, co-advised students, and close Sunlab research alumni. This can be expanded as more historical records are restored.

Trisha Das

PhD alumnus · 2026

Digital twins and AI for clinical trials; research at Optum

Zifeng Wang

PhD alumnus · 2025

Cofounder of Keiji AI

Brandon Theodorou

PhD alumnus · 2025

Cofounder of Keiji AI

Chaoqi Yang

PhD alumnus · 2024

Citadel; TikTok

Zhenbang Wu

PhD alumnus · 2025

Meta

Zhen Lin

PhD alumnus · 2024

Jump Trading; OpenAI

Junyi Gao

Research student / collaborator

Clinical trials and biomedical data science

Edward Choi

PhD alumnus; deep learning for healthcare and EHR representation learning

Kunal Malhotra

Former co-advised student; clinical sequence mining and healthcare data analysis

Rahul Duggal

Former co-advised student; robust and efficient AI systems

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