Mohammad is a Postdoctoral Associate in the Institute for Network Science. He earned his PhD from Columbia University under the supervision of Professor Clifford Stein and Shipra Agrawal. His research interests lie primarily in the area of submodulariy in machine learning, algorithms for massive dataset, and optimization for sequential decision making. He completed his Master’s degree in the department of Combinatorics and Optimization at the University of Waterloo. Before that, he obtained his B.Sc. in Computer Engineering and Mathematics from Sharif University of technology.

Research

Online Algorithms

Interests

  1. Submodular Optimization
  2. Learning and Optimization for Sequential Decision Making
  3. Multi-armed bandits

PhD Candidate in Operations Research

Columbia University, New York, NY 2020

Advisor: Cli ord Stein, Shipra Agrawal

M.Math in Combinatorics and Optimization

University of Waterloo, Waterloo, Canada 2014

Advisor: Jochen Konemann

B.Sc. in Computer Engineering (Software Engineering), and Mathematic

Sharif University of Technology, Tehran, Iran 2012

Honors and  Silver Medal in National Mathematics Olympiad

Awards

  1. Silver Medal in National Olympiad in Informatics
  2. Ranked 1st in National Graduate Entrance Exam in Computer Science
  3. Grant For Undergraduate Studies from the National Foundation of Elites, awarded to

Accessibility at Yale   Inference, Information, and Decision Group at Yale