She received her PhD in Computer Science from New York University in 2010 and was a Computing Innovation Fellow at Columbia University in the Department of Biomedical informatics from 2010-2012. She is the recipient of NSF CAREER and JSMF Complex Systems Scholar Awards and her work is also supported by the NIH through an R01. Her research focuses on two main areas: developing methods for finding causes from large-scale, complex, time-series data; and better understanding human health through analysis of medical and health data. She is the author of Causality, Probability, and Time (Cambridge University Press, 2012) and the forthcoming book Why: A Guide to Finding and Using Causes (O’Reilly Media, in press). Speaker's Website