About me

I am an Applied Mathematics Ph.D. candidate 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 here.

Recent announcements

March 2024 - I am thrilled to announce that I was selected as an Apple Scholar!

May 2023 - I am happy to announce that I am joining IBM Research for the summer.

August 2023 - I received the ISIT Student Travel Grant.

April 2023 - Our paper was accepted at ISIT 2023.
Here, we show that the Rashomon effect is inevitable and provide a method for practitioners to select the Rashomon parameter as a function of the dataset size.

January 2023 - Our paper received the Innovative Applications of AI award from AAAI.
In this paper, we developed an ML solution that combines deep learning and conformal prediction to output fast and accurate volume estimates and segmentation masks from fetal MRI. The proposed solution in the paper was deployed by the biggest clinical diagnosis company in Latin America.

August 2022 - I received the NeurIPS scholar award.

August 2022 - Our paper was accepted at NeurIPS 2022.
This paper aims to understand the conditions under which one can detect fair use violations in predictive models and, more interestingly, the conditions where estimating fair use is impossible.

July 2022 - I received the Fundação Estudar Leadership Fellowship.
The Fellowship aims to support, bring together, and develop Brazil’s most promising young leaders that can generate positive transformations in their sector of activity. I was one of the 30 fellows selected out of 33k (0.08% selected).