My research is to build intelligent systems that acquire knowledge from data for effective task support and decision making. Towards this goal, much of my recent work has been centered around mining unstructured data (text, time series), with particular emphasis on developing techniques that learn from data in a label-efficient and robust way. I am also broadly interested in probabilistic models, uncertainty estimation, and semi-supervised learning.
I am actively looking for talented and motivated students to work with me. Please email me if you are interested.
PhD in Computer Science, 2018
MS in Computer Science, 2013
BS in Computer Science, 2010