I am an assistant professor of operations, technology and information management at the Johnson Graduate School of Management at Cornell University. My research is at the intersection of causal inference, economics, and operations. I am particularly interested in developing decision-making models that leverage large-scale data combining statistics, optimization, and machine learning.

For a PDF version of my CV, click here
Contact: nur.kaynar@cornell.edu


Ph.D. in Decisions, Operations and Technology Management | 2017-2022
University of California, Los Angeles (UCLA)
Anderson School of Management

M.Sc. in Industrial Engineering | 2015-2017
Bilkent University, Turkey

B.Sc. in Industrial Engineering | 2010-2015
Bilkent University, Turkey


Conferences and Talks

  • Discovering Causal Models with Optimization
    - 16th INFORMS Workshop on Data Mining and Decision Analytics, October 2021
    - INFORMS Annual Meeting, October 2021
    - INFORMS Healthcare Conference, July 2021
    - California Institute of Technology, HSS Seminar, July 2021
    - Imperial-LBS-UCL ORMS Seminars, June 2021
    - MSOM Conference, June 2021
    - INFORMS Annual Meeting, November 2020
  • Learning Hidden Action Principal-Agent Models
    - INFORMS Annual Meeting, October 2019
  • A Spatial Model of the Opioid Epidemic in California
    - INFORMS Annual Meeting, October 2018
  • Handling Multi-Dimensional Efficiency and Equity Concerns
    - IMA and OR Society Conference on Mathematics of Operational Research, April 2017