Research focus: Developing and applying new methods for optical absorption/emission spectroscopy, FRET

Computing energy gaps and analyzing energy statistics for different solvent environments

Chris’ research focuses on molecular dynamics, including classical, mixed QM/MM, and nonadiabatic simulations with applications to polaritons, UV-Vis spectroscopy, and machine learning. His work is also tailored towards scientific software development for high performance computing environments, interfacing quantum chemistry programs with molecular mechanics packages and optimizing spectroscopy calculations. Away from the computer, Chris enjoys cycling, hiking, and exploring new places.
Github: github.com/ChristopherAMyers
LinkedIn: linkedin.com/in/christopher-myers-35b598125

Research focus: Modeling environment effects on optical spectroscopy

Research focus: machine learning energy gaps for modeling optical spectroscopy, comparison of methods for modeling condensed phase energy gaps