Shahrzad Haddadan is a theoretical computer scientist who specializes in the Markov chain Monte Carlo method, graph mining, and measuring and mitigating polarity in networks. During her Ph.D. at Dartmouth College, her research was focused on combinatorics in a particular study of permutations and partially ordered sets. After finishing her Ph.D. she studied big data and graph mining problems at Sapienza, University of Rome. She is currently a postdoctoral researcher at Brown's department of computer science working with Professor Eli Upfal at the Big Data group. The focus of this research group is to design and test mathematically well-founded algorithmic and statistical techniques for analyzing large scale, heterogeneous and noisy data.