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John Kitchin is the John E. Swearingen Professor in the Department of Chemical Engineering at Carnegie Mellon University. His research lies at the intersection of machine learning, data science, and scientific programming in engineering, focusing on developing software for modeling materials and solving engineering problems. Kitchin employs tools to model catalysts for energy applications and solve inverse problems in engineering, aiming to find new approaches to developing surrogate models for engineering systems. He completed his B.S. in Chemistry from North Carolina State University and both his M.S. in Materials Science and Ph.D. in Chemical Engineering from the University of Delaware in 2004. His postdoctoral work was at the Fritz Haber Institute in Berlin, where he studied alloy segregation. Kitchin has received several prestigious awards, including the Department of Energy Early Career Award and the Presidential Early Career Award for Scientists and Engineers. He has also worked on integrating machine learning into scientific workflows during a sabbatical at Google. He continues to explore innovative educational practices through awards and recognition for excellence in chemical engineering education.
Carnegie Mellon University • Pittsburgh, PA, USA
Tenure-track faculty position in the Chemical Engineering Department.
Admission is extremely competitive with no strict GPA cut-offs; holistic review is used.