Christian Kroer
Associate Professor of Computer Science
Christian Kroer’s research lies at the intersection of operations research, computer science, and economics.
He focuses on sequential game solving, decision making, and market design. A recurring theme in his research is how to solve large-scale problems in practice, and thus he often combines scalable optimization algorithms with data-driven AI methods. His research has applications in areas such as Internet markets (e.g. ad auctions or recommender systems), fair allocation (e.g. of courses to students), security settings (e.g. wi-fi jamming or infrastructure protection), and recreational games (e.g. poker).
Christian Kroer received his Ph.D. in Computer Science from Carnegie Mellon University in 2018. Before coming to Columbia University he spent a year as a postdoc with the Core Data Science group at Facebook Research.
Research Areas
- Decision Analysis
- Economics & Computation
- Game Theory
- Optimization
- Resource Allocation
- Algorithmic Fairness
- E-commerce
- Large-scale Optimization
- Matching Platforms
Additional Information
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Professional Experience
- Assistant Professor of IEOR, Columbia University, 2019-
- Research Scientist, Facebook Core Data Science, 2018-2020
- Software Developer, Netmester A/s, 2010-2011
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Professional Affiliations
- INFORMS
- ACM
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Honors & Awards
- ONR Young Investigator award, 2022
- NSF CAREER award, 2023
- Facebook Fellowship, 2016
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Education
- PhD, in computer science, Carnegie Mellon University
- MS, software development and technology, IT University of Copenhagen
- BA human-centered informatics, Aalborg University