The Rutgers Artificial Intelligence and Data Science (RAD) Collaboratory

Biography

My current research efforts focus on a number of topics in non-equilibrium statistical mechanics and biological physics. I am interested in chromatin physics and biology and in fundamental principles of evolutionary theory viewed through the lens of non-equilibrium dynamics. Another major focus of my research is global optimization and inference on networks, fitness landscapes, and protein folding landscapes, with applications to modern machine learning. This research direction was supported in part by a CASS seed project titled “Generative models for predicting causal protein-signaling networks”.