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Author Information
Lucas Monteiro Paes (Harvard University)
I am a second-year Applied Mathematics Ph.D. student in the School of Engineering and Applied Sciences (SEAS) at Harvard University, working with Prof. Flavio Calmon. My main research interests are fairness, information theory, and machine learning applications for the social good. Before joining Harvard, I received an M.s. in Computational Mathematics and Modelling from Instituto de Matemática Pura e Aplicada (IMPA) in Brazil. You can find my CV with a list of all my publications here.
Carol Long (Harvard University)
Berk Ustun (UC San Diego)

I am an Assistant Professor of Data Science and Computer Science at UCSD. My research develops methods to promote the responsible use of machine learning in medicine, consumer finance, and the physical sciences. In particular, my group focuses on issues associated with fairness, interpretability, robustness, and governance. Previously, I held research positions at Google and the Harvard Center for Research on Computation & Society. I also co-founded Petal, a fintech company that uses machine learning to broaden credit access in the US. To date, my research has received generous support from the NSF, NIH, and Amazon and has been recognized by the Kavli Fellowship and the INFORMS Innovative Applications in Analytics Award in 2016 and 2019.
Flavio Calmon (Harvard University)
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2021 : Who Gets the Benefit of the Doubt? Racial Bias in Machine Learning Algorithms Applied to Secondary School Math Education »
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2023 Poster: Arbitrariness Lies Beyond the Fairness-Accuracy Frontier »
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2023 Poster: Participatory Personalization in Classification »
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2022 Poster: Beyond Adult and COMPAS: Fair Multi-Class Prediction via Information Projection »
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2021 Poster: Learning Optimal Predictive Checklists »
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2021 Poster: Analyzing the Generalization Capability of SGLD Using Properties of Gaussian Channels »
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2020 : Invited Talk 4: Actionable Recourse in Machine Learning »
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2018 : Posters 1 »
Wei Wei · Flavio Calmon · Travis Dick · Leilani Gilpin · Maroussia Lévesque · Malek Ben Salem · Michael Wang · Jack Fitzsimons · Dimitri Semenovich · Linda Gu · Nathaniel Fruchter -
2017 Poster: Optimized Pre-Processing for Discrimination Prevention »
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