Research & Practice Areas
Atmospheric Chemistry & Composition, Computational Modeling, Air Quality, Climate Change, Earth Data Science. Machine Learning
- Ph.D. Environmental Engineering and Computation, Massachusetts Institute of Technology, 2019
- M.S. Atmospheric Sciences, University of Arizona, 2014
- B.S. Physics, University of Arizona, 2013
- Linus Pauling Distinguished Postdoctoral Fellow, Pacific Northwest National Laboratory, 2019-2021
Tenure Track Appointments
- Assistant Professor, University of Southern California, 2022 –
Summary Statement of Research Interests
My research focuses on atmospheric chemistry and composition, with application to both air quality and climate change.
Major tools used include computer models of the atmosphere, modern data science methods, and machine learning techniques.