Research

My research interests are in responsible analytics and AI and data-driven optimization, with applications in supply chain management, FinTech, and healthcare. Broadly speaking, my work has two main threads: (i) improving existing methodological tools for data-driven decision-making (e.g., making them more efficient, fair, robust, or transparent), and (ii) applying these to address complex operational problems where choices of material, financial or information flows carry substantial impact on the lives of millions of people and on the natural environment.

Wordle 

Key areas of interest

  • Methodological: optimization (robust optimization, combinatorial optimization, data-driven optimization), fairness in analytics and AI

  • Application areas: global supply chain management (commodity supply chains, food systems), FinTech (supply chain financing, asset management, risk management), healthcare (chronic disease management, public policy)

The Wordle on the left, created from some of my papers’ abstracts, gives you perhaps the best five-second snapshot of what it is that I do…

Under Review

Journal Publications

Other Publications

Working Papers

  • “Discrete Convexity and Optimality Conditions in Dynamic Robust Optimization,” with Y. Wei.

  • “Routing, Payments, and Incentives - Trading Platform Design for Smallholder Supply Chains,” with S. Camelo-Gomez and J. de Zegher.

Active Research

  • “Micro-Financing Solutions for Commodity Supply Chains,” with X. Warnes.

  • “Managing Freshness and Perishables with Cherry Pickers,” with J. Park and E. Plambeck.

  • “Disruption Risk and Optimal Sourcing in Supply Chains with Limited Visibility,” with R. Swinney.

  • “Reverse Factoring and Inventory-Based Lending in Supply Networks,” with W. Luo and W. Zhu.

  • “Sum-of-squares Proofs for Analyzing Comparative Statics,” with A. Ahmadi and G. Hall.

  • “Distributionally-Robust Financial Contract Design,” with C. Kocyigit and D. Kuhn.

Theses