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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.