Connor W. Coley
Assistant Professor of Chemical Engineering
Assistant Professor of Electrical Engineering and Computer Science

Connor received his B.S. in Chemical Engineering from Caltech and his Ph.D. in Chemical Engineering MIT. His research interests are in how data science and laboratory automation can be used to streamline discovery in the chemical sciences.

Postdoctoral Associates & Fellows and Research Scientists

Aparajita Dasgupta
Postdoctoral Associate

Aparajita received her PhD in Materials Design and Innovation from the University at Buffalo in June 2020. She is currently interested in using data science and machine learning to optimize the manufacture and processing of biologics.

John Bradshaw
Postdoctoral Associate

John completed his PhD in Engineering at the University of Cambridge and the Max Planck Institute for Intelligent Systems, graduating in the summer of 2021. He joined the Coley Research Group shortly afterwards and is interested in developing machine learning methods to augment researchers in the design-make-test steps of new molecule design.

Matteo Aldeghi
Research Scientist

Matteo completed his PhD in Biochemistry from Oxford in 2016. He later moved to Germany to work in Bert de Groot's group at the Max Planck Institute for Biophysical Chemistry as a Humboldt Research Fellow. In July 2019, he joined Alán Aspuru-Guzik's group as a Vector Postdoctoral Fellow, before joining the Coley research group in June 2021. Matteo is broadly interested in the use of data-driven as well as physics-based computational approaches in chemical and pharmaceutical research.

Rocío Mercado
Postdoctoral Associate

Rocío received her PhD in Chemistry from UC Berkeley in 2018, after which she did an industrial postdoc in the Molecular AI team at AstraZeneca before joining the Coley group August 2021. Her research interests lie at the intersection of chemistry and artificial intelligence for molecular discovery, with a recent focus on deep generative models for small molecule drug design.

Thijs Stuyver
Postdoctoral Associate

Thijs received his PhD in Chemistry from the Free University of Brussels in June 2018. Subsequently, he moved to Israel to work with Prof. Sason Shaik at the Hebrew University of Jerusalem before joining the Coley research group in April 2021. He is interested in augmenting machine learning models for reaction prediction and discovery with the help of expert knowledge in physical organic chemistry.

Graduate Students

David Graff
PhD Student

David completed his B.A. in Chemistry at Princeton and is now working on his Ph.D. in Chemistry at Harvard as a joint student between the Coley group and the Shakhnovich group. His work focuses on using optimization and machine learning to accelerate the discovery of drug-like molecules.

Herry (Tianyi) Jin
PhD Student

Herry received his B.S. in Chemical Engineering and Mathematics from UW-Madison in 2020 and now is a PhD student at MIT in Chemical Engineering, co-advised with Alfredo Alexander-Katz. He is interested in using machine learning and molecular modeling to promote enzyme stability via random copolymers.

Itai Levin
PhD Student

Itai received his B.A. in Chemistry and Chemical Biology from Cornell and is a PhD student at MIT in Biological Engineering, co-advised with Chris Voigt. He is interested in improving computer-aided synthesis planning for pathways that involve enzymatic catalysis.

Jenna Fromer
PhD Student

Jenna received her BS in Chemical Engineering from Tufts University in May 2021 and is now a PhD student at MIT in Chemical Engineering. She is interested in utilizing multi-objective optimization with synthetic cost considerations to accelerate molecular discovery.

Keir Adams
PhD Student

Keir received his B.S. in Chemistry and Molecular Engineering from the University of Chicago in 2020 and is now a PhD student in Chemical Engineering and Computation at MIT. His research focuses on advancing molecular representation for machine learning-assisted chemical discovery.

Mingrou Xie
PhD Student

Mingrou received her M.Eng in Chemical Engineering from Imperial College London in 2020 and worked for a year in Singapore before joining MIT. As a co-supervised PhD student with Professor Rafael Gómez-Bombarelli from DMSE, she is interested in engineering green chemistry through catalysis. Her current research focuses on chemical reactivity in porous materials using computational chemistry and ML.

Priyanka Raghavan
PhD Student

Priyanka graduated from UC Berkeley with a B.S. in Chemical Engineering, where she used quantum science to engineer new generation MRI machines and biological imaging techniques. Working towards her PhD at MIT, she is exploring problems involving intelligent discovery using AI/ML, directed evolution, combinatorial chemistry, and robotics.

Rebecca Neeser
MS Student

Rebecca received her BS in Pharmaceutical Sciences from ETH Zurich and is a master's student in Pharmaceutical Sciences at ETH Zurich. Her master's thesis project in the field of computational chemistry aims to augment machine learning models to predict organic reactions. She is further interested in enhancing drug discovery with AI specifically in the field of drug design.

Samuel Goldman
PhD Student

Sam received his A.B. in Computer Science from Harvard in 2019 and is a PhD student at MIT in Computational and Systems Biology. He is interested in using machine learning methods to develop better models of enzymatic catalysis.

Wenhao Gao
PhD Student

Wenhao received his B.S. in Chemistry from Peking University and his M.S. in Chemical and Biomolecular Engineering from Johns Hopkins University. He joined the group in 2020 and his research interest focuses on using artificial intelligence and robotic automation to accelerate biological and chemical discovery processes.

Zhengkai Tu
SM Student

Zhengkai received his B.ASc. in Chemical Engineering from Waterloo and is a master student at MIT in Computational Science and Engineering. He previously worked on deep learning applications in NLP and is currently interested in using machine learning for reaction prediction and retrosynthesis.

Undergraduate Students

Jake Yasonik
Undergraduate Student

Jake is an undergraduate at MIT majoring in Computer Science and Molecular Biology. He is interested in generative machine learning models for de novo drug design.

Katherine Lim
Undergraduate Student

Katherine is an undergrad student studying Computer Science and Molecular Biology at MIT. She is currently interested in data science and the development of therapeutics.

Saul A. Vega Sauceda
Undergraduate Student

Saul is an undergraduate at MIT studying Computer Science and Molecular Biology. He is currently interested in the applications of computer-aided synthesis planning in the pharmaceutical field and finding renewable feedstocks.

Lab Alumni

  • Min Htoo Lin (UG 2021, Nanyang Technological University) : ADVANCE.AI
  • Tyra Jones (UG 2021, Spelman College & UG 2023, Georgia Tech)
  • Jackson Burns (UG 2022, University of Delaware)