Hanna Wallach is a researcher at Microsoft Research in New York City and an assistant professor at the University of Massachusetts Amherst’s School of Computer Science, where she is one of five core faculty members involved in UMass’s recently formed Computational Social Science Initiative. Hanna develops new machine learning methods for analyzing the structure, content, and dynamics of complex social processes, such as the US political system, the US patent system, and software development communities.
Her research contributes to machine learning, Bayesian statistics, and, in collaboration with social scientists, to the nascent field of computational social science. Her work on infinite belief networks won the best paper award at AISTATS 2010. Hanna has organized several workshops on Bayesian latent variable modeling and computational social science. She also co-founded the annual Women in Machine Learning Workshop. Hanna holds a B.A. in Computer Science from the University of Cambridge, an M.S. in Cognitive Science and Machine Learning from the University of Edinburgh, and a Ph.D. in Physics from the University of Cambridge.