معرفی
Garud Iyengar serves as the Tang Family Professor and Director of the Data Science Institute at Columbia University's Fu Foundation School of Engineering and Applied Science, within the Department of Industrial Engineering and Operations Research. His office is located at 305 Mudd Building, and he can be reached at 212 854-4594 or garud@ieor.columbia.edu.
Dr. Iyengar received his B Tech in electrical engineering from the Indian Institute of Technology in 1993 and completed his PhD in electrical engineering from Stanford University in 1998. He maintains an active research profile as a member of Columbia's Data Science Institute.
Professor Iyengar's research focuses on understanding uncertain systems and exploiting available information through data-driven control and optimization algorithms. His work spans diverse fields including machine learning, systemic risk, asset management, operations management, sports analytics, and biology. Current projects include thermodynamics of sensing and memory in cells, automatic defensive assignment and event detection in NBA games, deep neural-network frameworks for interpretable robust decision making, attribution schemes for multi-channel advertising, systemic risk associated with extreme weather, and NLP-based stock performance prediction models.
Analysis of his recent publications reveals a strong interdisciplinary focus bridging theoretical optimization with practical applications. His work demonstrates consistent contributions across machine learning theory (particularly bandit algorithms and reinforcement learning), financial engineering, operations research, and computational biology. The publications show increasing integration of game-theoretic approaches with traditional optimization methods, particularly in supply chain security, resource allocation, and competitive systems.
Professor Iyengar's research group actively supervises students working on cutting-edge problems at the intersection of data science and domain-specific applications. While specific grant information isn't provided in the source material, his extensive publication record across multiple domains suggests significant research funding support.
As Director of the Data Science Institute, Iyengar leads interdisciplinary research initiatives connecting faculty and students across Columbia University. His research group appears to maintain strong connections with both academic and industry partners, particularly in finance, healthcare, and technology sectors, based on the applied nature of his research projects.
