I am a Visiting Assistant Professor of Mathematics and Data Science at the College of William & Mary.
My research is focused on service operations and interpretable decision-making. I am particularly interested in integrating mathematical modeling with data science to derive practical decision support tools with solid theoretical foundations.
I received a Ph.D. in Operations Management at Simon Business School, University of Rochester, under the supervision of Professor Yaron Shaposhnik.
Selected Research (Reverse chronological order)
Interpretable Routing in Disaster Response ManagementColin Tang, Yuting Yuan; In Progress, Data
Staff Sharing Under UncertaintyYuting Yuan; Major revision, M&SOM, Draft
Waiting-Time Prediction with Invisible CustomersYoav Kerner, Ricky Roet-Green, Arik Senderovich, Yaron Shaposhnik, Yuting Yuan; Minor revision, M&SOM, Draft
We derive accurate predictions for patients' waiting times in a queue when the system predictor only observes partial queue length.
Interpretable Prediction Rules for Congestion Risk in Intensive Care UnitsFernanda Bravo, Cynthia Rudin, Yaron Shaposhnik, Yuting Yuan; Stochastic Systems, forthcoming
We apply queueing theory and machine learning (ML) to derive interpretable prediction rules for ICU capacity issues in the short term.
Information Visibility in Omnichannel QueuesRicky Roet-Green, Yuting Yuan; Draft available at SSRN
We study the impact of the invisible queue in an omnichannel system on throughput and social welfare, where customers strategically decide to join or balk.
INFORMS Annual Meeting, Phoenix, AZ (Session SB08), Upcoming
INFORMS Annual Meeting, Indianapolis, IN, 2022
INFORMS Healthcare Conference, Virtual, 2021
CORS Annual Conference, Virtual, 2021
POMS 31th Annual Conference, Virtual, 2021
INFORMS Annual Meeting, Virtual, 2020
INFORMS Annual Meeting, Seattle, WA, 2019
INFORMS Workshop on Data Science, Seattle, WA, 2019
INFORMS Healthcare Conference, Cambridge, MA, 2019
POMS 30th Annual Conference, Washington D.C., 2019
Center for Advanced Medical Analytics, University of Virginia, 2023
Mathematics Colloquium, William & Mary, 2022
Telfer School of Management, University of Ottawa, Ottawa, Canada