He received a PhD in computer science from Carnegie Mellon University in 2006, and was a postdoctoral fellow at Princeton University from 2006-2008, in the Lewis-Sigler Institute for Integrative Genomics and the Department of Computer Science. His research interests include statistical and computational elements of complex networks, and the study of signaling and regulatory dynamics driving metabolism, cellular proliferation, cellular differentiation and development in unicellular organisms, mammalian systems and cancer. He has published more than 20 papers in leading journals and peer-reviewed conferences, including Nature, Proceedings of National Academy of Sciences, PLoS Computational Biology, Political Science and Politics, Journal for Machine Learning Research and Bayesian Analysis.