Martin Saveski is an Assistant Professor at the University of Washington Information School. He received his Ph.D. from the Massachusetts Institute of Technology and was a Postdoctoral Scholar at Stanford University. His research develops tools for analyzing large-scale social data, aiming to provide a better understanding of social structure and behaviors online while also impacting the design of digital social systems. His recent work has focused on developing new feed ranking algorithms aimed at reducing political polarization and studying the effects of crowd-sourced fact-checking. His research has been featured in popular media outlets, including The New York Times, NPR, and the MIT Tech Review.