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

Stanford University

2017 - 2023

University of California, Berkeley

2013 - 2016

  • B.Sc in Chemistry, B.A. Computer Science