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Prof. Connor Wilson Coley
Class of 1957 Career Development Associate Professor of Chemical Engineering
Primary DLC
Department of Chemical Engineering
MIT Room:
66-548
(617) 253-9218
ccoley@mit.edu
http://cheme.mit.edu/profile/connor-w-coley/
View Feature
Areas of Interest and Expertise
Autonomous Discovery
Machine Learning
Laboratory Automation
Chemical Synthesis
Molecular Design
Drug Discovery
Recent Work
Projects
January 20, 2021
Abdul Latif Jameel Clinic for Machine Learning in Health (J-Clinic)
Predictive in Silico Models for Cell Culture Process Development for Biologics Manufacturing
Principal Investigator
Connor Coley
Video
07.16.24-TokyoLifeScienceSymposium_ArtificialIforDesignSynthesisofSmall MoleculeConnorWColey
July 16, 2024
Conference Video
Duration: 41:0
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Artificial intelligence and machine learning have become important components of the computational toolbox that can be used to advance chemical research and discovery. In this talk, I will discuss our group’s work advancing AI/ML as it applies to the broad subfields of medicinal chemistry and synthetic organic chemistry. I will describe several approaches to facilitate decision-making when planning iterative design-make-test-analyze cycles, including the use of formal optimization techniques for selecting molecules from virtual libraries or proposed by generative AI and the use of computer-aided synthesis planning algorithms to define synthetically-accessible chemical spaces. A pervasive theme of our research is the formulation of problems in molecular design and synthesis in a manner amenable to computational approaches.
Using Computational Tools for Molecule Discovery
May 6, 2021
MIT Faculty Feature
Duration: 27:31
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Connor Coley
Assistant Professor of Chemical Engineering
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