Experience
Education
Bio
I am broadly interested in the measurement, modeling, analysis, design, and evaluation of complex Internet-scale
systems. In the past, my research has focussed on Internet access networks, trusted cloud computing, peer-topeer and overlay routing systems. My recent research is largely centered around social computing systems, which
are an emerging class of societal-scale human-computer systems. Popular examples include Facebook, Twitter,
YouTube, Yelp, eBay seller ratings, Wikipedia and Amazon’s Mechanical Turk. My studies of social computing
systems attempt to Understand, Predict, and Control the behaviors of their constituent human users and computer
systems. Specifically, they tackle the challenges associated with assessing the credibility of information shared by
anonymous online crowds, understanding and controlling privacy risks for users sharing data on online forums,
understanding, predicting and influencing viral information diffusion on social media sites, and enhancing fairness
and transparency of data-driven (algorithmic) decision making increasingly being used to model and replace human
decision making in social computing systems.