NSF Small Grant (joint with Anurag Anshu) CCF-2430375
NSF SLES Grant (joint with Boaz Barak and Sham Kakade) IIS-2331831
Harvard Dean's Competitive Fund for Promising Scholarship
Authored recent manuscripts including 'Quantum Probe Tomography', 'Fine-Tuning Masked Diffusion for Provable Self-Correction', 'Selective Underfitting in Diffusion Models', etc.
Mentored students awarded Hoopes Prize, Fay Prize, CRA Finalist, NSF GRFP, NDSEG, PD Soros Fellowship, Von Neumann Fellowship
Background
Assistant Professor of Computer Science at Harvard's John A. Paulson School of Engineering and Applied Sciences
Member of the Theory of Computation group, ML Foundations group, and Harvard Quantum Initiative
Broadly interested in algorithmic questions about learning from data
Recent focus on the science and theory of localization-based generative modeling (e.g., diffusions, masked language models, autoregressive models)
Designing quantum protocols for learning about the physical universe