He joined CNM in 2012 after finishing a Ph.D. and Postodoc at the University of Michigan. His research is focused on studying and designing social computing systems that encourage prosocial behaviour. Specifically, he is interested in understanding, modeling, predicting, and designing for prosocial human behavior within sociotechnical systems. He has studied and designed environments for large scale scientific collaboration, the use of social tagging in learning, and the sharing and reuse of user-generated content in online communities. Additionally, he has received funding from the the Keio-NUS CUTE Center, NSF and the Rackham Graduate School for this work.