Summary
Connor Coley is an Associate Professor at MIT with 13 years of experience applying data and automation to accelerate discovery in the chemical sciences. He progressed rapidly through MIT’s faculty ranks after a PhD in Chemical Engineering and postdoctoral work at the Broad Institute, blending fundamental reaction engineering with computational and experimental automation. His work sits at the intersection of chemistry, process engineering, and data-driven discovery, translating lab-scale insights into scalable automated workflows. Based in Cambridge, he has industry exposure from roles at Novartis, Corning, and Schlumberger, informing a pragmatic approach to translational research. Colleagues value his ability to bridge rigorous academic research and real-world process constraints, often leveraging cross-disciplinary teams to deploy adaptive discovery platforms. He is particularly interested in how algorithmic approaches can reduce the time from hypothesis to validated chemical innovation.
13 years of coding experience
6 years of employment as a software developer
Doctor of Philosophy - PhD Chemical Engineering, Doctor of Philosophy - PhD Chemical Engineering at Massachusetts Institute of Technology
California Institute of Technology