Luke Evans

Department of Mathematics · University of Maryland · Office: IPST 1112 · evansal(at)umd(dot)edu

This page has moved to here: as of Summer 2023 I started as a Flatiron Research Fellow in the Center For Computational Mathematics of the Flatiron Institute, as part of the Structural and Molecular Biophysics team led by Pilar Cossio and Sonya Hanson .

I am a PhD candidate in the Applied Mathematics, Statistics and Scientific Computation (AMSC) program at The University of Maryland, College Park. I am advised by Maria Cameron (Mathematics Dept.) and Pratyush Tiwary (Chemistry/Biochemistry Dept.) My current research is in data-driven methods for analysis of rare events in molecular dynamics. Broadly, my research interests are in graph-based algorithms, machine-learning, statistical mechanics, and numerical analysis.

Past seminars: For the Spring 2022 semester I co-organized the Machine Learning for Rare Events RIT at UMD with Maria Cameron.

Preprints/Publications

Computing committors in collective variables via Mahalanobis diffusion maps , Luke Evans, Maria K. Cameron, and Pratyush Tiwary, Applied and Computational Harmonic Analysis, 64, 62-101 (2023). [arXiv].
From latent dynamics to meaningful representations , Dedi Wang, Yihang Wang, Luke Evans, and Pratyush Tiwary , submitted, arXiv preprint arXiv:2209.00905 , (2022). [arXiv].
Computing committors via Mahalanobis diffusion maps with enhanced sampling data , Luke Evans, Maria K. Cameron, and Pratyush Tiwary, Journal of Chemical Physics , 157, 214107 (2022). [arXiv].
Conjugate Phase Retrieval on C^M by real vectors , Luke Evans and Chun-Kit Lai, Linear Algebra and its Applications, 587, 45-69 (2019). [arXiv].
A comparison of encoding methods for automated design of optical architectures , Colin Olson, Luke Evans, Neal Bayya, Jason Edelberg, , Proc. of SPIE, Novel Optical Systems Design and Optimization XXI, 107460J (2018), [proceedings].

Email

evansal(at)umd(dot)edu