Research
My research advances dynamic decision-making on two areas:
(1) Specialized algorithms tailored to business applications. I investigate emerging healthcare and retail operations problems in which real-world business constraints, which are identified through collaboration with hospitals and industry partners, limit the applicability of existing methods. I thus develop algorithms with strong theoretical guarantees to tackle these impactful problems.
(2) Accessible optimization methodologies for business users. I develop algorithms to tackle large-scale Markov decision processes, specifically designing them to require minimal human intervention during implementation while ensuring near-optimal policies. My research broadens and eases the use of approximate dynamic programming for business users, even those with limited domain knowledge.
For a complete list of my published and working papers, please visit my research page.