Scott Moura
Professor at University of California, Berkeley
Berkeley, California, United States
Summary
👤
Senior🎓
Top SchoolScott Moura is a professor and engineering leader at UC Berkeley who applies control theory to the intersection of electrified transportation and energy systems, focusing on modeling, estimation, and optimal/adaptive control for batteries, electric vehicles, and the smart grid. With over a decade of academic experience including roles as PATH Faculty Director and Chair of Engineering Science, he bridges fundamental PDE and control research with practical energy-storage and mobility applications. His work emphasizes how urban electrification creates coupled constraints and opportunities—turning vehicle charging into distributed storage and control problems. Trained with a PhD from the University of Michigan and a Berkeley BS, he combines rigorous theoretical tools with hands-on industry insight from early internships at major automakers and utilities.
12 years of coding experience
11 years of employment as a software developer
Bachelor of Science (B.S.) Mechanical Engineering, Bachelor of Science (B.S.) Mechanical Engineering at University of California, BerkeleyDoctor of Philosophy (Ph.D.) Mechanical Engineering, Doctor of Philosophy (Ph.D.) Mechanical Engineering at University of MichiganLa Canada High School
English, Portuguese, spanish (conversational)
Github Skills (9)
temperature8
battery8
particle8
simulation6
simulator6
q-learning5
deep-reinforcement-learning5
reinforcement-learning4
newman4
Github contributions (5)
scott-moura/SPMeT
Nov 2016 - Oct 2017
Contributions:2 releases, 38 commits, 4 PRs in 11 months
particlebatteryelectrolytetemperature
scott-moura/fastDFN
Jun 2016 - Oct 2016
Contributions:1 release, 23 commits, 3 PRs in 4 months
newmanbatterythermalsimulationdfn
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