Scholar
Finale Doshi-Velez
Google Scholar ID: hwQtFB0AAAAJ
Professor, Harvard
Citations & Impact
Citations
19,827
H-index
53
i10-index
133
Publications
20
Co-authors
0
Publications
Resume
Academic Achievements
- Recipient of BECA, AFOSR YIP, and NSF CAREER awards; Sloan Fellow; IEEE AI Top 10 to Watch.
Research Experience
- Serves as the Herchel Smith Professor in Computer Science at Harvard, leading the Data to Actionable Knowledge (DtAK) group. The research focuses on decision-making under uncertainty, interpretability and statistical methods for validation, and probabilistic modeling and inference.
Education
- MSc from the University of Cambridge as a Marshall Scholar, PhD from MIT, and postdoc at Harvard Medical School.
Background
- Herchel Smith Professor of Computer Science at Harvard, leading the Data to Actionable Knowledge (DtAK) group. Research interests include: decision-making under uncertainty (especially sequential decision-making), interpretability and statistical methods for validation, probabilistic modeling and inference (especially Bayesian models). Her work spans specific application domains such as health and wellness, humanitarian crisis negotiation, and broader socio-technical questions around human-AI interaction, AI accountability, and responsible and effective AI regulation.
Miscellany
- Has non-CS interests including writing fiction, which can be explored on her personal website.