Patricia Hidalgo-gonzalez

Assistant Professor at University of California, San Diego - Jacobs School of Engineering

Berkeley, California, United States
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Summary

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Patricia Hidalgo-Gonzalez is an Assistant Professor at UC San Diego with 12 years of experience at the intersection of power systems, control theory, optimization, and machine learning. She holds a Ph.D. and two M.Sc. degrees from UC Berkeley and an industrial and electrical engineering degree with highest honors from Pontificia Universidad Católica de Chile, and is an NSF GRFP fellow and Siebel Scholar. Her research tackles high renewable-penetration challenges—developing stochastic expansion models under climate uncertainty, low-inertia power dynamics analysis, and machine-learned controllers with safety guarantees. She directs the REAM lab, contributes to IEEE PES task forces, and has chaired sessions at major conferences, blending rigorous theory with policy-relevant system studies. Known for effective teaching in convex optimization and control, she is actively recruiting PhD students and postdocs to expand work on grid resilience, market design, and safe learning for dynamical systems.
code12 years of coding experience
job8 years of employment as a software developer
bookUniversity of California, Berkeley
bookIngeniería Civil Industrial, Diploma Ingeniería Eléctrica, Highest Honors, 6,3 (equivalent to A+), Academic rank: #11 out of 400 students, Ingeniería Civil Industrial, Diploma Ingeniería Eléctrica, Highest Honors, 6,3 (equivalent to A+), Academic rank: #11 out of 400 students at Pontificia Universidad Católica de Chile
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Github Skills (7)

power-systems9
ampl9
planning9
energy8
switch8
modeling-tool7
codebase5

Programming languages (2)

PLpgSQLPython

Github contributions (5)

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Contributions:161 pushes in 2 years 2 months
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Contributions:61 commits, 52 pushes, 1 branch in 6 months
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Patricia Hidalgo-gonzalez - Assistant Professor at University of California, San Diego - Jacobs School of Engineering