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John Kitchin is a professor at Carnegie Mellon University, focusing on the intersection of machine learning, data science, and scientific programming in engineering. His work involves developing software for modeling materials and solving engineering challenges through innovative approaches, particularly in modeling catalysts for energy applications. Kitchin holds a Ph.D. in Chemical Engineering from the University of Delaware, where he studied alloy segregation during his postdoctoral fellowship in Germany. Since joining Carnegie Mellon in 2006, he has received several prestigious awards, including the Presidential Early Career Award for Scientists and Engineers and the AIChE Award for Innovation in Chemical Engineering Education. He has also collaborated with Google to apply machine learning techniques to scientific and engineering problems. Kitchin has been recognized in various media for his efforts in enhancing education and research methodologies within chemical engineering and has actively contributed to advancements in the field through his research group.
Carnegie Mellon University • Pittsburgh, PA
Focus on machine learning and chemical engineering, leading research in innovative engineering problems.
Admission is extremely competitive with no strict GPA cut-offs; holistic review is used.