Momin M. Malik was the Data Science Postdoctoral Fellow at the Berkman Klein Center from 2018-2020, where he worked on building a comprehensive theoretical view of machine learning that integrates critical, constructivist, and statistical perspectives, in addition to supporting Media Cloud and community initiatives.
He is a multidisciplinary researcher who brings statistical modeling to bear on critical, reflexive questions with and about large-scale digital trace data. He is broadly concerned with issues of algorithmic power and control, and of validity and rigor in computational social science and applications of machine learning to areas of social science and policy. He has an undergraduate degree in history of science from Harvard, a master's from the Oxford Internet Institute, and a PhD from Carnegie Mellon University's School of Computer Science. He currently works as Director of Data Science at Avant-garde Health.