Nonnegativity Shapes Predictive Uncertainty: Complementary Model Fits and Quantile Construction
To be submitted soon.
Visiting Assistant Professor
Department of Mathematics and Statistics
University of Massachusetts Amherst
I am a Visiting Assistant Professor at the Department of Mathematics and Statistics, University of Massachusetts Amherst. Previously I was a Postdoc Research Fellow in the area of Operations Management and Statistics at the Joseph L. Rotman School of Management, University of Toronto, under the supervision of Ningyuan Chen, Ming Hu and Sheng Liu. I received my PhD in applied math (AMSC) from the University of Maryland, College Park. I was fortunate to be advised by Ilya Ryzhov.
My research focuses on uncertainty quantification, including Gaussian processes and nonparametric methods. I develop fundamental methods for system intelligence and industrial computing, particularly for systems that are expensive to observe and only partially understood. I am interested in applications that advance social good, including privacy, service quality, the environment, and resilient agriculture.
Authors in alphabetical order for all of my papers.
To be submitted soon.
Major Revision / Management Science
Resubmitted after Minor Revision / Manufacturing & Service Operations Management
MSOM iFORM SIG Day Presentation 2026 (iFORM = the Interface of Finance, Operations and Risk Management; SIG = Special Interest Group)
Journal of Applied Probability 61(1): 172–197.
This paper has been selected for inclusion in the February 2025 Applied Probability Collection on the topic of Gaussian processes. This collection features ten notable articles published by the Applied Probability Trust, showcasing cutting-edge developments in the field. I am grateful for this recognition.
Stochastic Systems 13(1): 59–92.
To be submitted within a finite period of time.