WELCOME TO THE OH LAB!
Decoding biomolecular interaction with machine learning and molecular simulations
Decoding biomolecular interaction with machine learning and molecular simulations
Using computational chemistry, artificial intelligence, and mathematical modelling, we study how biomolecules move, interact, and function at the atomic scale.
Our lab is driven by the belief that understanding biomolecular systems requires more than accurate prediction; it requires mechanistic insight grounded in chemistry, physics, and mathematics. To this end, we pursue research that is both intellectually rigorous and creatively driven, focusing not only on applying existing tools but on developing new models and methods that bridge molecular simulations and experimental science.
Our current research directions
Data-driven collective variable discovery
Biomolecular transport, membrane permeation, and conformational transition
Interpretable machine learning for conformational dynamics and drug design
Mathematical modelling of chemical processes
Interested in joining the lab?
We welcome inquiries from motivated undergraduate students and graduate students with interests in computational chemistry, biophysics, machine learning, mathematics, or related areas. Please see the Join Us page for current opportunities.