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Connor Coley is the Class of 1957 Career Development Professor and Associate Professor at the Massachusetts Institute of Technology (MIT) in the Department of Chemical Engineering and the Department of Electrical Engineering and Computer Science. His research focuses on integrating machine learning with chemistry and chemical engineering to enhance the understanding and design of molecular systems. His work includes developing domain-informed machine learning techniques that drive discoveries in predictive chemistry and facilitate the automation of laboratory experiments. Coley's innovative approaches to computer-aided molecular design, synthesis, and optimization aim to transform traditional experimental methods through advanced computational algorithms. Through closed-loop experimentation and autonomous laboratories, he seeks to push the boundaries of what is possible in synthetic chemistry and materials science. Connor has published extensively in high-impact journals and actively contributes to interdisciplinary projects that bridge the gap between engineering and the natural sciences.