Last Update in: March 10th, 2024.
I am currently a Staff Reinforcement Learning Researcher at the
Lawrence Livermore National Lab, where I push forward the state-of-the-art in Reinforcement Learning in several projects related to national defense. I also act as a Ambassador for the LLNL Data Science Institute, supporting the organization of seminar series and events to help set priorities for AI developments at the Lab. I originally joined LLNL as a Postdoc (2021) and was converted to Full Staff in December of 2022. My Ms.c. and Ph.D. degrees have been awarded by the University of São Paulo, Brazil, where I was advised by Professor Anna Reali Costa. I have held a Postdoc position at the
Advanced Institute for AI during 2019-2021, where I helped to approximate the industry and academic sectors in Brazil. During 2018-2019, I was a Visiting Researcher at the University of Texas at Austin, where I worked with Professor
Peter Stone. I also interned at
Borealis AI, where I did research related to my thesis topic with
Matthew Taylor.
My works are concerned with several topics of Machine Learning, but I am better known for my research on
Transfer Learning for Multiagent Reinforcement Learning (read more about it in my
book or
survey).
I was involved in the organization of several academic workshops, including the
Adaptive Learning Agents (ALA) Workshop at AAMAS, the
Scaling-Up Reinforcement Learning (SURL) Workshop series, and
Latinx in IA at NeurIPS.
My research interests include Machine Learning, Reinforcement Learning, Multiagent Systems, Supervised Learning, and Computer Vision. I welcome new collaboration opportunities, just e-mail me.
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