She completed her Ph.D. at the University of Pennsylvania in 2009, and subsequently spent a year as a Computing Innovation Fellow at Harvard. Her research interests are in machine learning, algorithmic economics, and social computing, all of which she studies using techniques from theoretical computer science. She is the recipient of Penn's 2009 Rubinoff dissertation award for innovative applications of computer technology, a National Science Foundation CAREER award, and best paper or best student paper awards at COLT, ACM EC, and UAI. In her "spare" time, she is involved in a variety of efforts to provide support for women in computer science; most notably, she co-founded the Annual Workshop for Women in Machine Learning, which will be held for the seventh time in 2012.