Bio: Connor W. Coley is an Assistant Professor at MIT in the Department of Chemical Engineering and the Department of Electrical Engineering and Computer Science. He received his B.S. and Ph.D. in Chemical Engineering from Caltech and MIT, respectively, and did his postdoctoral training at the Broad Institute. His research group at MIT develops new methods at the intersection of data science, chemistry, and laboratory automation to streamline discovery in the chemical sciences with an emphasis on therapeutic discovery. Key research areas in the group include the design of new neural models for representation learning on molecules, data-driven synthesis planning, in silico strategies for predicting the outcomes of organic reactions, model-guided Bayesian optimization, and de novo molecular generation. Connor is a recipient of C&EN’s “Talented Twelve” award, Forbes Magazine’s “30 Under 30” for Healthcare, the NSF CAREER award, the Bayer Early Excellence in Science Award, and is a Schmidt AI2050 Early Career Fellow.
Postdoctoral Associates & Fellows and Research Scientists

Fanwang Meng
Postdoctoral Associate

Guangqi Wu
Postdoctoral Associate

John Bradshaw
Postdoctoral Associate

Joonyoung Joung
Postdoctoral Associate

Qianxiang Ai
Research Scientist
Graduate Students

Anji Zhang
PhD Student

David Graff
PhD Student

Herry (Tianyi) Jin
PhD Student

Joules Provenzano
PhD Student

Keir Adams
PhD Student

Mingrou Xie
PhD Student

Priyanka Raghavan
PhD Student

Wenhao Gao
PhD Student

Xiaoqi Sun
PhD Student

Zhengkai Tu
PhD Student
Undergraduate and Postgraduate Researchers
- Jiayi Xin, HKU Applied Artificial Intelligence / Wellesley College
- Saul A. Vega Sauceda, MIT Computer Science and Molecular Biology (LinkedIn)
- Janet Li, Harvard Computer Science and Statistics (Chemistry minor)
- Divya Nori, MIT Chemical Engineering and EECS
- Chanwoo Yoon, MIT Electrical Engineering and Computer Science
- Ron Shprints, MIT Mathematics with Computer Science
Lab Alumni
- Christian Ulmer (MS 2023, KTH) → Software Engineer @ Scandens
- Rocío Mercado (Postdoctoral Associate) → Assistant Professor @ Chalmers (group page)
- Thijs Stuyver (Postdoctoral Associate) → Assistant Professor @ Université PSL
- Nicholas Casetti (Postgraduate Researcher) → PhD Student @ MIT
- Rebecca Neeser (MS 2022, ETH Zurich) → Intern @ VantAI → PhD student @ EPFL
- Matteo Aldeghi (Research Scientist) → Senior Research Scientist @ Google Research
- Aparajita Dasgupta (Postdoctoral Associate) → Senior Scientist, Process Development @ Pfizer
- Katherine Lim (UG 2023, MIT)
- Jacob Yasonik (UG 2024, MIT) → Intern @ Google Brain → Machine Learning Engineer @ Stealth
- Min Htoo Lin (UG 2021, Nanyang Technological University) → Deep Learning Algorithm Engineer @ ADVANCE.AI → AI Engineer @ Talo Labs
- Tyra Jones (UG 2021, Spelman College & UG 2023, Georgia Tech)
- Jackson Burns (UG 2022, University of Delaware) → PhD Student @ MIT