Sarah Brown is a Postdoctoral Research Associate in the Data Science Initiative. She earned her PhD in 2016, MS in 2014, and BS in 2011 all in Electrical Engineering at Northeastern University. Prior to joining Brown, she was a Chancellor's Postdoctoral Fellow at the University of California Berkeley in Computer Science and a member of the Algorithmic Fairness and Opacity Working group. Dr. Brown's research interest is in building machine learning methods to enable data-driven discovery in domains where most current knowledge is qualitative and analyzing machine learning techniques with respect to social values. Her other professional activities include teaching computational data analysis skills to researchers with The Carpentries and serving as the treasurer of Women in Machine Learning, Inc.