Chara Podimata
Assistant Professor

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.



The project “ARCHIMEDES Unit: Research in Artificial Intelligence, Data Science and Algorithms” with code OPS 5154714 is implemented by the National Recovery and Resilience Plan “Greece 2.0” and is funded by the European Union – NextGenerationEU.

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