As Simons Center Independent Postdoctoral Fellow at NYU, Michael worked with the Hocky group to study the self-assembly of ionic colloidal crystals via enhanced sampling simulations that leveraged machine-learned collective variables. He previously conducted his PhD at Stanford (advisor: Prof. Thomas Markland) where his research centered on developing and applying theory, molecular simulation, and machine learning methods for modeling condensed phase systems with a focus on analyzing different spectroscopies. Michael is now a professor at the University of Kentucky in the Departments of Chemical Engineering and Computer Science.

New York University
2023 - 2026
- Independent postdoctoral fellow in the Simons Center for Computational Physical Chemistry and the Department of Chemistry
Stanford University
2017 - 2023
- Ph.D. in Chemistry
- Advisor: Thomas Markland
University of California, Berkeley
2013 - 2016
- B.Sc in Chemistry, B.A. Computer Science