Presenter

Niu Huang received his graduate degree in biophysics from Nankai University and his doctoral degree in computational chemistry from the University of Maryland, Baltimore, followed by four years of postdoctoral training at the University of California San Francisco. He is currently a principal investigator with the National Institute of Biological Sciences, Beijing. His primary research interest is understanding the physical basis behind molecular recognition. More specifically, his lab is developing and applying physics-based computational chemistry approaches to predict the binding free energy of protein-ligand interactions, including the development of a unique hierarchical virtual screening platform to strike the balance between efficiency and accuracy, the implementation of a binding-site water displaceable free-energy calculation in molecular docking, and, more recently, developing a quantum physics-based molecular interaction energy calculation approach driven by deep learning techniques.