My name is Umit Celik, and I am a Ph.D. candidate in Operations Management and Data Analytics at UNC Chapel Hill Kenan-Flagler Business School. My research focuses on applying econometrics and machine learning for causal inference to improve the efficiency of healthcare facilities. In addition to my academic work, I collaborate with healthcare companies on projects involving causal inference, AI, and data science. I am also involved in a big data initiative at the Kenan Institute, where we work on forecasting economic health indicators for North Carolina. I have presented my research at major conferences and workshops, including INFORMS, MSOM, POMS, DSI, as well as invited events in academia and industry. I also teach Operations Management and serve as a TA for MBA courses in Business Statistics, Generative AI, and Data Analytics.
Advisor: Brad Staats
Dissertation committee: Brad Staats(Chair), Chloe Glaeser, Vinayak Deshpande, Saravanan Kesavan, Sandeep Rath
Research:
Does Physician Choice of When to Perform EHR Tasks Influence Total EHR Workload?
Umit Celik, Sandeep Rath, Saravanan Kesavan, Bradley Staats
UNC Kenan-Flagler Business School
MSOM, Published: 29 Feb 2024
https://pubsonline.informs.org/doi/abs/10.1287/msom.2023.0028?journalCode=msom
Reducing Appointment Delays: The Impact of Standardized EHR Usage on Physician Timeliness
Umit Celik, Sandeep Rath, Bradley Staats, Saravanan Kesavan
UNC Kenan-Flagler Business School
In preparation for submission to Management Science
Predictive Modeling of Relapse Rates and Simulation for Improved Early Intervention in Opioid Treatment Centers
Umit Celik, Bradley Staats
UNC Kenan-Flagler Business School
In preparation for submission to Management Science
Research Interests: Causal Inference, Econometrics, Machine Learning, Healthcare Operations, Data Analytics