Patricia Hidalgo-Gonzalez is an Assistant Professor at the University of California, San Diego. She holds a Ph.D. and two M.Sc. from the University of California, Berkeley. She graduated as an Industrial and Electrical engineer from Pontificia Universidad Católica of Chile. Her work focuses on high penetration of renewable energy using optimization, control theory and machine learning. She is generally interested in capacity expansion modeling, power system dynamics, resilient grids for extreme weather events, environmental justice, distributed control, and learning for dynamical systems with safety guarantees. Her work has been funded by the California Energy Commission, the U.S. Department of Energy, the Sloan Foundation, the Environmental Defense Fund, the University of California Office of the President and GridLab. Prof. Hidalgo-Gonzalez is the 2025 IISE Energy Systems Division Outstanding Young Investigator Awardee (one winner per year globally), an NSF GRFP fellow, Siebel Scholar in Energy, Rising Star in Electrical Engineering and Computer Science, has been awarded Best paper at the Power Systems Computation Conference 2020, and is part of the Editors’ Highlights in Nature Communications (best 50 papers recently published in “Engineering and Infrastructure”), her work was cited in The White House 2024 Economic Report of the President, among other recognitions. She is part of the IEEE Task force “Data-driven controls for distributed systems” and has served as best paper judge in the IEEE Control Systems Society Technical Committee on Energy Systems. She has also served as the opening talk for the energy storage session in EPRI's 43 rd  Seminar on Resource Planning in Washington D.C., and as a speaker at a symposium from the U.S. National Academy of Sciences and the German National Academy of Sciences Leopoldina in Halle, Germany, among others.