Victor Zavala is a multidisciplinary researcher and professor with 11 years of experience at the intersection of optimization, control, data science, and process systems engineering focused on energy and sustainability. He holds a PhD in Chemical Engineering from Carnegie Mellon and has progressed through research roles at Argonne National Laboratory to a joint appointment while serving as the Baldovin-DaPra Professor at the University of Wisconsin–Madison. Victor builds and applies advanced computational methods to optimize energy systems and control processes, translating theoretical tools into scalable models for real-world sustainability challenges. His career blends deep algorithmic expertise with hands-on implementation in national-lab environments, bridging academic research and applied engineering. Less obvious: he routinely navigates both high-performance computational settings and classroom mentorship, enabling technology transfer and workforce development in energy-focused data science.
10 years of coding experience
6 years of employment as a software developer
BSc, Chemical Engineering, BSc, Chemical Engineering at Universidad Iberoamericana, Ciudad de México
PhD, Chemical Engineering, Control, Optimization, PhD, Chemical Engineering, Control, Optimization at Carnegie Mellon University
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Victor Zavala - Joint Appointment at Argonne National Laboratory