WELCOME TO THE OH LAB!
Exploring the molecular world with AI and MD for public health and the environment
Exploring the molecular world with AI and MD for public health and the environment
Our group uses computational chemistry, artificial intelligence, and mathematical modelling to study how molecules behave and interact at the atomic scale. We develop machine learning-based models that connect molecular simulations with experimental science, with applications in drug design, biophysics, and sustainable chemistry.
Our current areas of interest include (1) hypoxia-inducible factor prolyl 4-hydroxylase inhibitors, (2) cellular and plasma retinol-binding proteins, (3) electrochemical CO2 reduction, and (4) data-driven collective variable discovery.