People

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

Min Htoo is a Chemistry undergrad (class of 2021) from NTU, Singapore. Originally passionate about synthetic organic chemistry, he has fallen in love with machine learning and firmly believes in its potential to uplift and accelerate synthetic chemistry. Outside research, he plays the Sheng in the Chinese Orchestra, participates in datathons and watches Chess.