Garud N Iyengar

Garud N. Iyengar

Professor of Industrial Engineering and Operations Research; Avanessians Director of the Data Science Institute

Garud Iyengar works problems at the intersection of information, control and optimization in a diverse settings.

His research group is currently working on problems arising in cellular signaling, labor platforms, power networks, supply chains, multi-armed bandits, and causal inference. 

His group work publishes in leading machine learning conferences, including NeurIPS, ICML, AISTATS, EC, and STOC, and a very wide set of journals including Operations Research, Mathematical Programming, MSOM, E-Life and several IEEE journals. His work has been supported by grants from NSF, DOE, and ONR, and grants from severals Centers at Columbia.

Research Areas

  • Data Analytics
  • Decision Analysis
  • Economics & Computation
  • Financial Engineering
  • Game Theory
  • Manufacturing Systems
  • Optimization
  • Resource Allocation
  • Risk Management
  • Supply Chain Management
  • Blockchain (Web3.0)
  • Business Analytics
  • E-commerce
  • Energy & Power
  • Financial Technology
  • Large-scale Optimization
  • Matching Platforms
  • Urban Logistics

Additional Information

  • Professional Affiliations
    • Institute for Operations Research and Management Sciences (INFORMS)
  • Honors & Awards
    • CAREER Award, National Science Foundation, 2000
    • President’s Gold Medal, Indian Institute of Technology, Kanpur, 1993
  • Professional Experience
    • Avanessians Director of the Data Science Institute, Columbia 2024 – present
    • Tang Family Professor of Operations, IEOR, Columbia Jan 2020 – present
    • Professor, IEOR, Columbia, 2010 – present 
    • Associate Professor, IEOR, Columbia, 2006-10
    • Assistant Professor, IEOR, Columbia, 1998-2006
  • Education
    • PhD, Electrical Engineering, Stanford University
    • MS, Electrical Engineering, Stanford University
    • B. Tech., Electrical Engineering, IIT Kanpur