His research lies at the intersection of Mechanical Engineering, Machine Learning, and Design; an area often referred to as “Design Informatics” or “Data-Driven Design.” He received his Ph.D. from the University of California at Berkeley and received his M.S. and B.S. at Carnegie Mellon University. He has conducted research in applied machine learning, optimization, network analysis, additive manufacturing, human-computer interfaces, crowdsourcing, and creativity support tools. He has received a DARPA Young Faculty Award and a National Defense Science and Engineering Graduate (NDSEG) Fellowship.