Roland St. Michel

Roland St. Michel

Graduate Student

Massachusetts Institute of Technology

Roland joined the group in November 2022 as a Ph.D. student in materials science and engineering. He graduated from Cornell University with a Bachelors of Engineering in Materials Science and Engineering. During his undergradatuate education, he worked for the Wolverton group at Northwestern, on a project to machine learn the difference of formation energy between SCAN and PBE functionals. This is where he became interested in using machine learning.

Interests
  • machine learning
  • density functional theory
  • materials discovery
Education

  • BE in Materials Science and Engineering, 2022

    Cornell University

Publications

  1. Graph neural networks for predicting metal–ligand coordination of transition metal complexes (2024)
  2. Leveraging natural language processing to curate the tmCAT, tmPHOTO, tmBIO, and tmSCO datasets of functional transition metal complexes (2024)