معرفی
Flavio P. Calmon is the Thomas D. Cabot Associate Professor of Electrical Engineering at Harvard University's John A. Paulson School of Engineering and Applied Sciences. He holds a Ph.D. in Electrical Engineering and Computer Science from MIT and completed a postdoctoral fellowship at IBM Research. His research focuses on information theory, machine learning, and AI, with an emphasis on fairness, privacy, and reliability in trustworthy systems. Calmon has received prestigious awards such as the 2024 James L. Massey Award and the 2018 NSF CAREER Award. His work is supported by grants from NSF, Amazon, Google, and IBM.
Key research areas include algorithmic fairness, differential privacy, and the theoretical foundations of machine learning. He has advised numerous Ph.D. students, including Lucas Monteiro Paes (Apple), Hsiang Hsu (JP Morgan), and Haewon Jeong (UCSD faculty). Calmon teaches courses on information theory and machine learning at Harvard and has organized major conferences like the AI in Brazil Panel Series and symposiums on machine learning and information theory.
His recent publications address challenges in AI alignment, privacy mechanisms, and fairness interventions. He actively promotes diversity in STEM, particularly for Latin American students, and collaborates internationally on projects like the Lemann Brazil Research Fund Award initiative.
