Since 2015, he has led a research and development group at PSR for software based on numerical methods. He also researches advanced methodologies in stochastic optimization, equilibrium models, and reinforcement learning for large-scale applications in energy markets. He works as a developer of new computational systems for detailed operational planning, such as New Genesys, used in the Pacific Northwest of the United States. He is also a developer and instructor of PSR models such as SDDP, OptFlow, OptGen, and Coral.
Academic Background
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DSc in Operations Research, Electrical Engineering, and Numerical Methods – PUC-Rio
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BSc in Mathematics – PUC-Rio
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BSc in Electrical Engineering – PUC-Rio; one-year academic exchange at UC Santa Barbara
Professional Experience
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Author and co-author of more than 15 articles in specialized publications.
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Open-source software developer.
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Speaker and session organizer at several power systems and operations research conferences (INFORMS Annual Meeting, ISMP, ICSP, IEEE PES GM, PSCC, EURO).
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Reviewer for journals and conferences:
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IEEE Transactions on Power Systems – Outstanding Reviewer in 2019 and 2020
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IEEE Transactions on Sustainable Energy
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Electric Power Systems Research
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INFORMS Journal on Computing
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Computational Management Science Journal
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Power Systems Computations Conference
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PowerTech Conference
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Brazilian Conference on Operations Research
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