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Dr. Zachary Ulissi
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Professor Ulissi is an Assistant Professor of Chemical Engineering and Materials Science and Engineering (courtesy) and a fellow of the Scott Institute for Energy Innovation at CMU. He joined Carnegie Mellon University in 2017. Prof. Ulissi did his undergraduate work at the University of Delaware with dual degrees in Physics and Chemical Engineering. He then completed a masters of advanced science and technology at Churchill College, Cambridge, and did his PhD at MIT. His research at MIT focused on the the applications of systems engineering methods to understanding selective nanoscale carbon nanotube devices and sensors under the supervision of Michael Strano and Richard Braatz. Prof. Ulissi did his postdoctoral work at Stanford with Jens Nørskov where he worked on machine learning techniques to simplify complex catalyst reaction networks, applied to the electrochemical reduction of N2 and CO2 to fuels. The Ulissi group builds on this foundation to model, understand, and design nanoscale interfaces using machine learning and predictive methods to guide detailed molecular simulations.