Theoryful Machine Learning in the Chemical Sciences
Prof. Tyler R. Josephson
Friday, February 5, 2021 · 1 - 2 PM
-- Department of Computer Science and Electrical Engineering Talk --
Theoryful Machine Learning in the Chemical Sciences
Prof. Tyler R. Josephson
ATOMS Lab: AI & Theory-Oriented Molecular Science
Chemical, Biochemical & Environmental Engineering, UMBC
1:00-2:00 pm, 5 February 2021
online via webex
Tyler R. Josephson is an Assistant Professor in the Chemical, Biochemical, and Environmental Engineering department at the University of Maryland, Baltimore County. He received his B.S. in Chemical Engineering from the University of Minnesota in 2011, and his Ph.D. in Chemical Engineering from the University of Delaware in 2017, after which he was a postdoctoral associate in the University of Minnesota Chemistry Department. Prof. Josephson uses multi-scale modeling and machine learning to study catalysis, solvation, adsorption, and phase equilibria. During his downtime, he loves learning new things, thinking about deep topics (like science and philosophy), and playing the piano.