Research

Research Interests

I study problems at the intersection of optimization, machine learning, and data-driven decision-making, with applications in healthcare. A central theme of my work is developing models that are interpretable, fair, and robust, so that predictive and prescriptive tools can be reliably applied in high-stakes environments.

Methods

• Data-driven optimization
• Robust and stochastic optimization
• Markov decision processes
• Predictive modeling and machine learning