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Resume (English only)
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.
Co-authors: 0 (list not available)