David Stelter
Group Leader – Machine Learning and Data Analytics
Ph.D. (Theoretical Chemistry) Boston University, 2019
B.S. (Chemistry) University of Rochester, 2014
Dr. Stelter joined Spectral Sciences, Inc. in September 2019. He is currently working on the development and enhancement of exhaust plume models. His graduate work focused on the development of enhanced sampling molecular dynamics algorithms for applications to phase transitions, nanoparticles, and biomembranes. Other interests include molecular modelling/coarse graining, neural networks, nucleation, and non-equilibrium thermodynamics.
