Bio


I completed my PhD in computer science at Berkeley in 2014. My research interests are a bit eclectic, and they span statistics, computation, optimization, and machine learning. At Berkeley, I worked in the Statistical Artificial Intelligence Lab (SAIL) under the joint supervision of Michael Jordan and Martin Wainwright. I obtained my master's degree (MA) in statistics in Fall 2012. I was also an undergrad and a masters student at Stanford University, where I worked with Daphne Koller in her research group, DAGS. I also spend some time at Google Research, where I had (and continue to have) the great fortune to work with Yoram Singer.

Academic Appointments


Honors & Awards


  • C.V. Ramamoorthy Distinguished Research Award, University of California, Berkeley (2014)

Professional Education


  • BS, Stanford University, Computer Science (2007)
  • MS, Stanford University, Computer Science (2008)
  • MA, University of California, Berkeley, Statistics (2012)
  • PhD, University of California, Berkeley, EECS (2014)

Current Research and Scholarly Interests


My research interests span statistics, machine learning, computation, and optimization. Modern techniques for data gathering have yielded extraordinary mass and diversity of data. Yet the amount of data is no panacea; it is challenging to identify the best ways to analyze and make inferences from information we collect. How can we balance multiple criteria--such as computation, communication, or privacy--while maintaining statistical performance?

2014-15 Courses


Journal Articles