John Duchi

Associate Professor

Palo Alto, California, United States
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Summary

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Senior
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Top School
John Duchi is an Associate Professor at Stanford, bridging statistics, electrical engineering, and computer science to tackle large-scale optimization and robust statistical learning. His research covers robustness to uncertain data, information-theoretic perspectives on learning, and the resource-efficiency trade-offs in statistical practice. Before returning to academia, he spent about seven years at Google as a research engineer, blending industry experience with theoretical rigor. He holds a PhD in Computer Science and an MA in Statistics from UC Berkeley, and BS and MS degrees in Computer Science from Stanford. His work has earned multiple prestigious awards, including best paper honors at NIPS and ICML, an NSF CAREER award, a Sloan Fellowship in Mathematics, ONR Young Investigator, and ACM honorable mention for his dissertation. Based in Palo Alto, he continues to mentor the next generation of researchers while advancing scalable ML and optimization methodologies.
code11 years of coding experience
job7 years of employment as a software developer
bookMaster of Arts - MA, Statistics, Master of Arts - MA, Statistics at University of California, Berkeley
bookBachelor's degree, Computer Science, Bachelor's degree, Computer Science at Stanford University
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Github Skills (4)

solver8
julia7
convex6
convex-optimization5

Programming languages (3)

JuliaTeXJupyter Notebook

Github contributions (5)

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comptastics/Bib

Apr 2024 - Mar 2025

Contributions:2 PRs, 44 pushes in 11 months
ryantibs/ccf-18

Sep 2018 - Sep 2018

Contributions:9 pushes in 3 days
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