Home
Industrial Engineering and Operations Research
Industrial Engineering and Operations Research
Research Areas Information Retrieval & Web Search Optimization Resource Allocation Stochastic Modeling and Simulation
Additional Information
Professional Experience
Senior Lecturer in the Discipline of Computer Science and in the Discipline of Industrial Engineering and Operations Research, 2019- Lecturer in Discipline of Computer Science, Columbia University, 2014-2019
Professional Affiliations
Information Theory Society (ITSOC) Institute of Electrical and Electronics Engineers (IEEE) Association for Computing Machinery (ACM)
Honors & Awards
Distinguished Faculty Teaching Award Columbia Engineering Alumni Association's (CEAA), 2019
Education
PhD, Computer Science, Harvard University MSc, Computer Science, Harvard University BS, Computer Engineering and Informatics, University of Patras (Greece)
Research Areas Data Analytics Decision Analysis Economics & Computation Financial Engineering Optimization Risk Management Stochastic Modeling and Simulation Financial Technology Reinforcement Learning
Additional Information
Professional Experience
Liu Family Professor of Financial Engineering, Columbia University, 2016– Nomura Professor of Mathematical Finance, The University of Oxford, 2007-2016 Choh-Ming Li Professor of Financial Engineering, The Chinese University of Hong Kong, 2013-2014 Assistant Professor/Associate Professor/Professor/Chair Professor of Systems Engineering and Engineering Management, The Chinese University of Hong Kong, Hong Kong, 1993-2007
Professional Affiliations
IEEE SIAM INFORMS Bachelier Finance Society
Honors & Awards
Distinguished Faculty Teaching Award, Columbia University, 2023 Archimedes Society Lecturer, Columbia University, 2017 Fellow, SIAM, 2016 Wolfson Research Award, The Royal Society, 2013 Humboldt Distinguished Lecturer, Humboldt - Universitat zu Berlin, 2013 Invited speaker, International Congress of Mathematicians, 2010 Fellow, IEEE, 2005 Croucher Senior Research Fellowship, Croucher Foundation, 2005 SIAM Outstanding Paper Prize, SIAM, 2003 Alexander von Humboldt Research Fellowship, AvH Foundation, 1993 Monbusho Scholarship, Japanese Ministry of Education, 1989
Education
PhD, Operations Research and Control Theory, Fudan University BS, Mathematics, Fudan University
Additional information
Research Areas
Data Analytics Decision Analysis Algorithmic Fairness Business Analytics Energy & Power Matching Platforms Real Estate Technology Urban Logistics
Professional Experience
Associate Professor of Practice, Columbia University, 2023-Present Co-Founder, DataCaptains.com, 2022-Present Adjunct Professor, Duke University, 2018-2022 Director of Data Science, Better.com, 2020-2021 Director of Data Science, Better.com, 2020-2021 Data Science Manager, Uber, 2017-2020 Senior Data Scientist, New York Life Insurance, 2015-2017
Education
PhD, Statistics, Carnegie Mellon University MS, Statistics, Carnegie Mellon University MA, Applied Mathematics, Collegio Carlo Alberto MA, Finance and Insurance, University of Torino BA, Mathematics, University of Torino
Research Areas Artificial Intelligence (AI) and Machine Learning (ML) Applied and Theoretical Machine Learning Economics & Computation Game Theory Robotics and Autonomous Systems Data Analytics Decision Analysis Optimization Resource Allocation Algorithmic Fairness Business Analytics E-commerce Reinforcement Learning Online Learning
Additional information
Professional Experience
Software Engineer, Yahoo! Software India Pvt. Ltd., India, Aug 2004-Dec 2004
Professional Affiliations
Member of ACM Future of Computing Academy Associate editor for Management Science journal
Honors & Awards
Selected as an inaugural member of the ACM Future of Computing Academy (FCA). Announced April 2017. Provosts Grant for Junior Faculty who Contribute to the Diversity Goals of the University (2016-2017)
Research Areas Data Analytics Decision Analysis Economics & Computation Optimization Resource Allocation Service Systems Supply Chain Management Algorithmic Fairness Business Analytics E-commerce Large-scale Optimization Matching Platforms Sequential Optimization Under Uncertainty Online Learning & Multi-Armed Bandits
Research Areas Data Science Education Economics of Information Systems
Additional Information
Professional Experience
Co-director of IEOR undergraduate program, Columbia University, 2019– IEOR combined plan undergraduate advisor, Columbia University, 2019- IEOR and DSI MS application reviewer, Columbia University, 2019-
Honors & Awards
Provost Hybrid Learning Course Redesign and Delivery Project Award, Adopting Immediate Feedback Assessment Technique (IF-AT) for Computational Subjects, 2019 Best Teaching Assistant Award, Heinz College, Carnegie Mellon University, 2017
Additional information
Professional Experience
Assistant professor of Industrial Engineering and Operations Research, Columbia University, 2019–
Honors & Awards
Best Paper Award, Springer Optimization Letters, 2016 Finalist of competition for best PhD thesis organized by French Agency for Mathematics in Interaction with Industry and Society, 2017
Education
PhD, Applied Mathematics, Paris VI University MS, Control, optimization, and operations research, Paris I BS, Engineering, ENSTA
Research Areas Economics & Computation Optimization Resource Allocation Algorithmic Fairness Matching Platforms
Additional Information
Professional Experience
Associate Professor, Columbia University, 2022- Assistant Professor, Columbia University, 2016-2022 Postdoctoral Researcher, EPFL, 2012-2016 Postdoctoral Researcher, University of Padua, 2012-2016 Intern, Zuse Institute Berlin, 2016
Professional Affiliations
Honors & Awards
Meta Research Award, 2022 CAREER Award, NSF, 2021 Distinguished Faculty Teaching Award, The Fu Foundation School of Engineering, Columbia University, 2018 Lorenzo Brunetta award for a PhD thesis in Operations Research, 2012
Education
PhD, Operations Research, Sapienza University of Rome (Italy) MSc, Mathematical Engineering, University of Rome Tor Vergata (Italy) BSc, Management Science and Engineering, University of Rome Tor Vergata (Italy)
Research Areas Data Analytics Decision Analysis Resource Allocation Risk Management Service Systems Stochastic Modeling and Simulation Business Analytics Artificial Intelligence
Additional Information
Professional Affiliations
Institute for Operations Research and the Management Sciences (INFORMS) Institute for Mathematical Statistics (IMS) Netherlands Society for Statistics and Operations Research (VVS)
Honors & Awards
PECASE award, White House, 2016 Erlang Prize, INFORMS Applied Probability Society, 2012 Goldstine Fellowship, IBM Research, 2007
Education
PhD, Mathematics, University of Amsterdam MS, Econometrics and Operations Research, Vrije Universiteit Amsterdam
Research Areas Power Systems Smart Electric Energy (Smart Grids) Quantum Computing Renewable Energy Optimization Risk Management Energy & Power Large-scale Optimization Urban Logistics
Additional information
Professional Experience
Professor of applied mathematics and applied physics, Columbia University, 2008- Full professor of industrial engineering and operations research, Columbia University, 1995- Associate professor of industrial engineering and operations research, Columbia University, 1989-1990 (tenured 1991) Assistant professor of industrial engineering and operations research, Columbia University, 1989–1990 Scientist, combinatorics and optimization research, Bellcore, 1986-1989 Assistant professor, Graduate School of Industrial Administration, Carnegie Mellon University, 1985-1986
Professional Affiliations
Honors & Awards
Khachiyan Prize, 2022 INFORMS Fellow, 2013 Plenary speaker, 2005 SIAM Optimization Conference, semi-plenary speaker, ISMP 2006 Presidential Young Investigator Award, 1990
Education
PhD, Operations Research, MIT, 1985 BA, Mathematics, Brandeis University, 1982
Research Areas Security and Privacy Artificial Intelligence (AI) and Machine Learning (ML) Applied and Theoretical Machine Learning Data Privacy Economics & Computation Game Theory Human-Computer Interaction (HCI) Trustworthy Computing Data Analytics Decision Analysis Optimization Algorithmic Fairness Business Analytics
Additional Information
Professional Affiliations
Fellow, Center for Democracy & Technology Advisory Board Member, Future of Privacy Forum Member, ACM U.S. Technology Policy Committee Member, IEEE Standards Association Member, Association of Computing Machinery (ACM) Member, Society for Industrial and Applied Mathematics (SIAM) Member, Institute for Operations Research and the Management Sciences (INFORMS) Former Advisory Board Member, U.S. Census Atlanta Regional Data Center (ARDC)
Honors & Awards
Google NYC Cyber Award, 2023 DARPA Director's Fellowship Award, 2023 Early Career Faculty Impact Fellowship, 2023 Best Paper Award at SaTML, 2023 Center for Democracy & Technology Fellowship, 2023 Provost's Teaching and Learning Innovating Course Design Award, 2022 Best Paper Award Runner-up at CCS, 2021 DARPA Young Faculty Award, 2021 Apple Privacy-Preserving Machine Learning Award, 2021 National Academy of Engineering Frontiers of Engineering Fellowship, 2020 NSF CAREER Award, 2020 JPMorgan Faculty Award, 2020 Google Research Fellowship (through Simons Institute for the Theory of Computing), 2019 NIST Unlinkable Data Challenge, Grand Prize Winner and People's Choice Award Winner, 2018 Mozilla Research Grant, 2018 ACM SIGecom Doctoral Dissertation Honorable Mention, 2018 Amori Doctoral Prize in Computing and Mathematical Sciences, 2017 Caltech Leadership Award, 2017 Simons Award for Graduate Students in Theoretical Computer Science, 2015 Best Paper Award at DISC, 2014
Professional Experience
Associate Professor, Department of Industrial Engineering and Operations Research, Columbia University, 2023-present Assistant Professor, Department of Industrial Engineering and Operations Research, Columbia University, 2021-2022 Assistant Professor, School of Industrial and Systems Engineering, Georgia Institute of Technology, 2017-2020
Education
PhD, Computing and Mathematical Sciences, California Institute of Technology MS, Computer Science, Northwestern University BA, Mathematics and Economics, University of Southern California
Research Areas Decision Analysis Economics & Computation Game Theory Optimization Resource Allocation Algorithmic Fairness E-commerce Large-scale Optimization Matching Platforms
Additional Information
Professional Experience
Assistant Professor of IEOR, Columbia University, 2019- Research Scientist, Facebook Core Data Science, 2018-2020 Software Developer, Netmester A/s, 2010-2011
Professional Affiliations
Honors & Awards
ONR Young Investigator award, 2022 NSF CAREER award, 2023 Facebook Fellowship, 2016
Education
PhD, in computer science, Carnegie Mellon University MS, software development and technology, IT University of Copenhagen BA human-centered informatics, Aalborg University