Flavio P. Calmon

Flavio P. Calmon is an Associate Professor of Electrical Engineering at Harvard University, affiliated with the Electrical Engineering department. His research interests include Applied Mathematics, Data Science, Artificial Intelligence, Machine Learning, and Signal Processing. Calmon's work has been recognized through awards such as the James L. Massey Research & Teaching Award for Young Scholars. He is also involved in research related to AI alignment and transparency in AI safety training. His contact information is fcalmon@fas.harvard.edu, and his profile can be accessed at https://seas.harvard.edu/person/flavio-calmon.

Flavio du Pin Calmon is a researcher at Harvard University specializing in Information Theory, Statistical Machine Learning, and Fair Machine Learning. His work explores methods to prevent discrimination in machine learning systems, enhance privacy against statistical inference, and improve fairness in predictive models. He has published extensively on topics such as optimized pre-processing for discrimination prevention, tunable measures for information leakage, and fair multi-class prediction via information projection. His research also addresses privacy-utility tradeoffs, hypothesis testing under privacy constraints, and the development of techniques for continual learning and fair prediction with missing values.