Research
My research interests lie at the intersection of operations research and statistics, focusing on methodological development and managerial insights.
Predictive robust decision-making
I develop data-driven optimization models that incorporate predictive information and structural features of data for operational decision-making under uncertainty. I study two-stage and multistage stochastic and robust optimization problems, examining their computational methods and statistical performance.
Statistics and econometrics for operations management
I use econometric and statistical learning methods to study operations management problems and uncover managerial insights from operational data. I am also interested in how newer AI tools, including LLMs, can support prediction and decision-making in operations management.