Last Update in: February 11th, 2026.
I am currently a Principal Applied Scientist at Microsoft Corporation working on the Business and Industry Copilot org. Before that I spent 5 years as a Senior Staff Reinforcement Learning Researcher at the
Lawrence Livermore National Lab, where I pushed forward the state-of-the-art in Reinforcement Learning in several projects related to national defense, including AI-powered Antibody Therapeutics and Vaccine development. I also acted as the Scientific Outreach Coordinator for the LLNL Data Science Institute, supporting the organization of events to help set priorities for AI developments at the Lab. 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). More recently, I have been dedicating most of my time working on Machine Learning techniques to support the development of Antibody Therapeutics and Vaccines.
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.
I welcome new collaboration opportunities, just e-mail me (however, I cannot do much to help you land a specific position at my current or previous companies, so unless I personally shared the position saying I am the PI, e-mailing me won't be productive).
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