Recipient of the 2024 James L. Massey Research & Teaching Award by the IEEE Information Theory Society; Best Paper Award at NENLP for the paper 'AI Alignment at Your Discretion' in 2025; two new NSF awards and a Harvard Brazil Lemann Research Award in 2023.
Research Experience
Leads the Harvard Information Theory Laboratory; was a social good post-doctoral fellow at IBM Research in Yorktown Heights, New York; current research group works on developing foundational theory for responsible design of ML and AI algorithms.
Education
Received Ph.D. in Electrical Engineering and Computer Science from MIT.
Background
Thomas D. Cabot Associate Professor of Electrical Engineering at Harvard's John A. Paulson School of Engineering and Applied Sciences. Main research interests include information theory, signal processing, machine learning, and artificial intelligence.
Miscellany
Passionate about broadening participation of students from all backgrounds, including those from Latin America, in information theory and machine learning; excited about addressing data-driven challenges specific to the developing world.