Finale Doshi-Velez

Finale Doshi-Velez is excited about methods to turn data into actionable knowledge. Her core research in machine learning, computational statistics, and data science is inspired by---and often applied to---the objective of accelerating scientific progress and practical impact in healthcare and other domains.
Specifically, she is interested in questions such as: How can we design robust, principled models to combine complex data sets with other knowledge sources? How can we design models that summarize and generate hypotheses from such data? Doshi-Velez is interested in developing the probabilistic methods to address these questions.

Prior to joining SEAS, Finale Doshi-Velez was an NSF CI-TRaCS Postdoctoral Fellow at the Center for Biomedical Informatics at Harvard Medical School. She was a Marshall Scholar at Trinity College, Cambridge from 2007-2009, and she was named one of IEEE's "AI
Top 10 to Watch" in 2013.

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