ArrePath
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, and the Bayer Early Excellence in Science Award.
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ArrePath
ArrePath was founded upon the mission to discover new and differentiated classes of anti-infectives to address antimicrobial resistance (AMR) through the application of state of the art technologies and novel strategies. We apply world-class science and innovation in imaging and AI / ML technologies to identify and develop novel drugs to address global health issues. Our advanced machine learning (ML) and imaging-based drug discovery platform enables a rapid and efficient identification of new drug classes with desired activity profiles and clinical utility, coupled with a deep understanding of mechanism of action at the outset of the discovery process.