Postdoctoral Scholar at University of California, Berkeley
Amherst, Massachusetts, United States
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Summary
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Senior
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Gustavo Perez is a machine learning researcher and postdoctoral scholar with a decade of experience focused on computer vision and statistical methods, currently based at UC Berkeley. He holds a PhD in Computer Science from UMass Amherst with a strong academic record and a background bridging bioengineering and electronic engineering. Gustavo has progressed from industry roles in engineering and project management to research and teaching positions across Universidad de los Andes and UMass, giving him a rare mix of practical systems experience and rigorous research methodology. His work emphasizes applied ML for vision problems, informed by quantitative rigor and interdisciplinary thinking from biomedical and electronic engineering training. Colleagues describe him as someone who translates complex statistical ideas into experimentally sound systems while mentoring students through hands-on research. He brings a global perspective and tangible product-development experience to academic research, enabling smoother paths from prototypes to reproducible results.
10 years of coding experience
12 years of employment as a software developer
Doctor of Philosophy - PhD, Computer Science, 3.9/4.0, Doctor of Philosophy - PhD, Computer Science, 3.9/4.0 at University of Massachusetts Amherst
Electronic Engineer, Electrical, Electronics and Communications Engineering, Electronic Engineer, Electrical, Electronics and Communications Engineering at Universidad del Norte
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Gustavo Perez - Postdoctoral Scholar at University of California, Berkeley