Nima Hamidi

Nima Hamidi

Ph.D. Student in Statistics

Stanford University

Biography

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.

Interests

  • Sequential Decision Making
  • Reinforcement Learning
  • High Dimensional Statistics

Education

  • 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

Skills

Python

R

Java

C/C++

Bash