Zachary Ulissi

Professor Ulissi joined Carnegie Mellon University in 2017, after doing his PhD at MIT and post-doc at Stanford. 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.

In his free time, Prof. Ulissi enjoys the outdoors and is a competitive cyclist, though mostly does bike trips for fun now. He also enjoys cooking and traveling, and has a large friendly dog Laika.

Bikes and Laika

Ph.D. in Chemical Engineering from the Massachusetts Institute of Technology in 2015
M.A.St. in Applied Mathematics from Churchill College, University of Cambridge 2010
B.E. in Chemical Engineering, B.S. in Physics from the University of Delaware, 2009

Honors and Awards
AIChE 35 under 35, 2020
3M Non-Tenured Faculty Award, 2020
ACS PRF Doctoral New Investigator, 2020
Scialog Fellow in Advanced Energy Materials, 2019
Fellow, Wilton E. Scott Institute for Energy Innovation, 2019-2023
Wimmer Faculty Fellow for the Development of Teaching, 2018
Team Science Award, DOE EFRC Hub PI Meeting, 2017
Department of Energy Computational Science Graduate Fellow (DOE CSGF), 2010-2014
National Science Foundation Graduate Research Fellowship, 2009-2010

Ulissi CV


Room A207A
Doherty Hall
Carnegie Mellon University
5000 Forbes Avenue
Pittsburgh, PA 15213
Email: zulissi (at)
Tel: +1 412-268-9517