| Apr. 2026 |
I’ll be presenting our working paper on Text as the Richest Preference Signal at the ICLR 2026 Workshop on AI for Mechanism Design 
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| Jan. 2026 |
Our paper on how verifier imperfection affects test-time scaling
was accepted to ICLR 2026! 
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| May. 2025 |
I’ll be speaking at the AAPOR idea group on “Using Multiple Data Sources for AI Alignment: Bridging Survey Research and Machine Learning”, in St. Louis, Missouri.
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| Jan. 2025 |
I’m thrilled to be spending the next 6 months as a Visiting Scholar at Harvard University, hosted by Rediet Abebe and Sham Kakade.
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| Sep. 2024 |
Our paper on “Evaluating language models as risk scores” was accepted to NeurIPS 2024 
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| Jan. 2024 |
Our paper “Unprocessing Seven Years of Algorithmic Fairness” was accepted as an oral at ICLR 2024 (notable top 5%) 
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| Jan. 2023 |
Our paper “FairGBM: Gradient Boosting Models with Fairness Constraints” was accepted at ICLR 2023!
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| Oct. 2022 |
I started my PhD at the Max Planck Institute for Intelligent Systems, in Tübingen, Germany.
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| Dec. 2021 |
Our paper “Promoting Fairness through Hyperparameter Optimization” was presented at IEEE ICDM 2021! 
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| Aug. 2021 |
Our paper “TimeSHAP: Explaining Recurrent Models through Sequence Perturbations” was presented at ACM KDD 2021! 
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| Aug. 2020 |
I joined Feedzai as a Research Scientist on the FATE (Fairness, Accountability, Transparency, and Ethics in AI) department.
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| Jul. 2020 |
I finished my MSc in Computer Science at the University of Porto with a top 1% GPA 🎓
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