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Nathan Kallus

Assistant Professor in Operations Research and Information Engineering
Field member in computer science and statistics
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About

Kallus's research revolves around data-driven decision making in operations, the interplay of optimization and statistics in decision making and inference, and the analytical capacities and challenges of unstructured, large-scale, and web-based data. His works span basic theory, effective methodology, and novel applications and has been recognized by awards.
 

Research Website
Cornell Tech Profile
Contact
kallus@cornell.edu
Location
Cornell Tech
Profile Type
Faculty (Field)
Statistics & Data Science
Faculty (Field)
Computer Science

Awards

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NSF Faculty Early Career Development Award (CAREER)

National Science Foundation
Nathan Kallus
  • Education
  • 2019

About This Award

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