CV
Contact Information
| Name | Zachary W. Ulissi |
| Professional Title | Director of AI Research & Adjunct Professor |
| zulissi@gmail.com |
Professional Summary
Director of AI Research at Meta Fundamental AI Research (FAIR) and Adjunct Professor of Chemical Engineering at Carnegie Mellon University.
Experience
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2026 - present Menlo Park, CA
Director of AI Research
Meta Fundamental AI Research (FAIR)
- Lead the FAIR Chemistry team
- AI for chemistry and catalysis
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2024 - present Pittsburgh, PA
Adjunct Professor of Chemical Engineering
Carnegie Mellon University
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2024 - 2026 Menlo Park, CA
Senior Research Manager
Meta Fundamental AI Research (FAIR)
- Co-led the FAIR Chemistry team
- AI for chemistry and materials
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2023 - 2024 Menlo Park, CA
Research Scientist
Meta Fundamental AI Research (FAIR)
- Joined FAIR in 2023 to work on AI for chemistry and catalysis
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2022 - 2023 Pittsburgh, PA
Associate Professor of Chemical Engineering
Carnegie Mellon University
- Machine learning for computational chemistry
- Engineering and discovery of catalysts and inorganic materials
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2017 - 2022 Pittsburgh, PA
Assistant Professor of Chemical Engineering
Carnegie Mellon University
- Machine learning for computational chemistry
- Engineering and discovery of catalysts and inorganic materials
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2015 - 2017 Stanford, CA
Postdoctoral Scholar
Stanford University
- Postdoc with Jens Nørskov in computational catalysis
Education
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2010 - 2015 Cambridge, MA
PhD
Massachusetts Institute of Technology
Chemical Engineering
- Simulations and theory to describe carbon nanotube devices and sensors
- Systems engineering and parameter estimations for nanotube simulations
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2009 - 2010 M.A.St.
Churchill College, Cambridge, UK
Applied Mathematics and Theoretical Physics
- Applied math and fluid dynamics courses
- Research with Raymond Goldstein
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2005 - 2009 Newark, DE
B.E. / B.S.
University of Delaware
Chemical Engineering and Physics
- B.E. in Chemical Engineering
- B.S. in Physics
Awards
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2022 Dean's Early Career Fellow (CMU Engineering Award)
Carnegie Mellon University
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2021 G.T. Ladd Research Award
Carnegie Mellon University
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2020 3M Non-Tenured Faculty Award (NTFA)
3M
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2020 Doctoral New Investigator
ACS Petroleum Research Fund (PRF)
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2019 Scott Institute for Energy Innovation Fellow
CMU Scott Institute
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2010 DOE CSGF Fellow
Department of Energy
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2009 NSF GRFP Fellow
National Science Foundation
Projects
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2020 - present Open Catalyst Project
The Open Catalyst Project builds open datasets and machine learning models to accelerate catalyst simulations.
Interests
Catalyst Modeling and Discovery: DFT, Active learning, High-throughput calculations, Electrochemical (CO2RR, HER, OER, ORR) and thermal catalysis
Artificial Intelligence / Machine Learning: Large graph neural networks, Fine-tuning, Active learning, Uncertainty quantification, Heuristic optimization systems
Nanotechnology: Carbon nanotube devices and sensors, Interfacial phenomena, Classical molecular dynamics simulations
Other Interests: Cycling, cooking, traveling, outdoors, hiking