Andrés Guzmán-Cordero
I am a PhD student in Machine Learning at Mila and Université de Montréal supervised by Kirill Neklyudov. My research interests are generative modelling, Monte Carlo methods, Optimal Transport, and applying those to solve fundamental problems in natural sciences, e.g. finding eigenstates of the many-body Schrodinger equation, simulating molecular dynamics, predicting the development of biological cells, conformational sampling, and protein folding.