Welcome to the Chen lab! Our research focuses on developing computational methods to predict structural and dynamical processes in RNA biophysical systems. To tackle the immense conformational sampling space and complex interactions inherent in these systems, we harness cutting-edge machine learning, equilibrium and nonequilibrium statistical mechanics, biophysical theories, and state-of-the-art simulation techniques such as molecular dynamics and Monte Carlo methods. Our work goes beyond traditional approaches by creating novel hybrid physics- and data-driven solutions for RNA structure and interaction predictions and therapeutic applications. The methods we develop are accelerating discoveries in RNA biology and making contributions to the development of next-generation therapeutics.