Daniel G. Gratti – Marcos M. Raimundo

Institute of Computing - University of Campinas

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Daniel Gardin is a master’s student at the Institute of Computing at the University of Campinas (IC - UNICAMP). He is also a faculty member of the REasoning for COmplex Data (Recod.ai) lab. Mostly interested in Reinforcement Learning, Operational Research and Optimization.

Interests

Machine Learning
Reinforcement Learning
Optimization
Deep Learning

Education

MSc in Computer Science, current Institute of Computing - University of Campinas

BSc in Applied Mathematics, 2022 Institute of Mathematics, Statistics and Scientific Computing - University of Campinas

Projects

Long-Term Impacts of Machine Learning-Supported Decisions

A two-stage sequential decision-making framework combining offline reinforcement learning, contextual bandits, and multi-objective optimization to eliminate harmful feedback loops, mitigate selective labels (reject inference), and ensure long-term fairness and policy flexibility.