Nima Hamidi

Nima Hamidi

Ph.D. Student in Statistics

Stanford University


I’m a Ph.D. student in the Stanford Department of Statistics advised by Mohsen Bayati. I’m interested in the theory of linear bandit and low-rank trace regression. Prior to my Ph.D., I received my bachelor’s degree in software engineering double majored with mathematics and my master’s degree in mathematics from Sharif University of Technology.


  • Sequential Decision Making
  • Reinforcement Learning
  • High Dimensional Statistics


  • Ph.D. in Statistics, 2021

    Stanford University

  • Master's in Mathematics, 2015

    Sharif University of Technology

  • Bachelor's in Software Engineering and Mathematics, 2013

    Sharif University of Technology

Honors and Awards

Departmental Teaching Assistant Award

Stanford Graduate Fellowship (SGF)

Iranian Mathematical Society Competition

Iranian Mathematical Society Competition

International Mathematical Competition (IMC)

International Mathematical Olympiad (IMO)

Iranian National Mathematical Olympiad

Iranian National Olympiad in Informatics

Work Experience


Algo Developer Intern

Hudson River Trading

Jun 2020 – Aug 2020 New York

Quantitative Research Intern

Vatic Labs

Jun 2019 – Sep 2019 New York

Quantitative Research Intern

Citadel Securities

Jun 2018 – Sep 2018 Chicago

Teaching Experience


Introduction to Statistical Inference (TA)

2017 – 2017 Instructor: Joseph Romano

Theory of Statistics III (TA)

2017 – 2017 Instructor: Emmanuel Candes

Theory of Statistics I (TA)

2016 – 2016 Instructor: Joseph Romano

Topics in Planar Geometry and Number Theory

NODET Schools

2008 – 2015 Iran