Kenneth Huang is a Postdoctoral Research Scientist in the Honig Lab. His research bridges computational and structural biology, focusing on integrating experimental data with advanced computational methods to reveal novel structural insights into complex, dynamic biological systems. His research focuses on addressing systems marked by high conformational heterogeneity—where static representations fall short and structural behavior is driven by partner interactions and the cellular environment. To overcome the limits of traditional sampling in molecular dynamics (MD) simulations, he leverages experimentally derived biases (such as cryo-EM, XL-MS, and HDX-MS) to accelerate conformational sampling and build robust, integrative models.

Personal Website: github.com