Summary
Alvaro Bastos is an electrical engineer and energy analytics specialist with a decade of experience applying data science, machine learning, and quantitative modeling to power systems, energy storage, and grid decarbonization. He holds a PhD from UT Austin and built production-grade tools at Sandia National Laboratories, contributing to open-source suites like QuESt and the DOE Global Energy Storage Database to evaluate techno-economic performance of distributed resources. His research produced novel algorithms for detecting and characterizing subtle power quality events and for non-invasive condition monitoring of distribution equipment, work that informed standards efforts as an active member of the IEEE 1564 task force. Alvaro has taught and mentored extensively—winning top teaching awards—and combines academic rigor with practical deployment experience from national labs, industry data engineering roles, and government regulation work in Brazil. He brings a rare blend of hands-on signal-level expertise and policy-facing perspective, now shaping telecom public service regulation and infrastructure policy in Brasília.
11 years of coding experience
4 years of employment as a software developer
Bachelor of Science - BS Electrical Engineering - Power Systems, Bachelor of Science - BS Electrical Engineering - Power Systems at Universidade Federal de Viçosa
Doctor of Philosophy - PhD Electrical and Computer Engineering - Energy Systems, Doctor of Philosophy - PhD Electrical and Computer Engineering - Energy Systems at The University of Texas at Austin
International Undergraduate Exchange Programme Advanced Sensor Applications, International Undergraduate Exchange Programme Advanced Sensor Applications at Hanze
Pós-graduação lato sensu Especialização em Políticas de Infraestrutura, Pós-graduação lato sensu Especialização em Políticas de Infraestrutura at Enap
English, Portuguese, Spanish