Chara Podimata is an Assistant Professor of Operations Research and Statistics at MIT. She is interested in social aspects of computing and more specifically, the effects of humans adapting to machine learning algorithms used for consequential decision-making. She received her PhD from Harvard, advised by Yiling Chen and then was a FODSI postdoctoral fellow at UC Berkeley. During her PhD, she interned at MSR and Google, and her research was supported by a Microsoft Dissertation Grant and a Siebel Scholarship. Outside of research, she spends her time adventuring with her pup, Terra.
