Dr. John Duchi

Associate Professor

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Biography

John Duchi is an Associate Professor in the Department of Statistics at Stanford University. His research interests encompass statistical learning, optimization, information theory, and computation. Duchi's work focuses on the development of statistical learning procedures that efficiently trade real-world resources while maintaining statistical efficiency. He aims to create large-scale optimization methods that are robust and effective, as well as develop tools that assure the validity and confidence in machine-learned systems. Duchi has received several prestigious awards, including the SIAM/OPT Early Career Prize in 2020 and the Young Investigator Award from the Office of Naval Research in 2019. He is also recognized for his contributions to the field through various accolades, such as the Paper Award at the Neural Information Processing Systems in 2017 and several honors from the Sloan Foundation. Duchi's academic background includes a Bachelor of Science and Master of Science in Computer Science from Stanford University, and both a Master of Arts in Statistics and a PhD in Electrical Engineering and Computer Sciences from the University of California, Berkeley.

Research Interests

Experience

Associate Professor

2014-08-01 — Present

Stanford University • Stanford, California

Teaching and conducting research in statistics, optimization, and machine learning.

Awards

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SIAM/OPT Early Career Prize

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Young Investigator Award

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Paper Award

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Sloan Foundation Fellow

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Doctoral Dissertation Award (Honorable Mention)

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Okawa Foundation Award

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C.V. Ramamoorthy Distinguished Research Award

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Student Paper Award

Courses

EE 377 STATS 311 STATS 117 CS 499 CS 499P CS 390A CS 390B DATASCI 199 STATS 199 STATS 299 STATS 398 EE 300 CS 390D CME 391 STATS 399 EE 191 EE 191A EE 391 EE 191W EE 190 EE 390 ENGR 108 STATS 315A STATS 305A

Requirements for Stanford University

Doctorate Program
Requirements
GPA Requirement
Required:3.5
TOEFL
Listening
Required:26
Reading
Required:26
Writing
Required:26
Speaking
Required:26
Total
Required:100
GRE General
Verbal
Required:160
Quantitative
Required:165
Analytical Writing
Required:4.5
Overall
Required:4.5
Prerequisites
Bachelor degree from an accredited institution Strong background in mathematics and programming
Application Checklist
  • Statement of Purpose
  • Three letters of recommendation
  • Official transcripts
  • Resume/CV
Specialization Notes

The Computer Science department emphasizes research potential. GRE General is currently optional but recommended for some tracks.