My research primarily applies game theory and optimization methods to study to study behavioral operations and platform operations, including crowdfunding, shared labor, and healthcare platforms, analyzing how human decision-making biases and strategic interactions shape operational efficiency, pricing, and matching mechanisms. In behavioral operations, I examine supply chain decisions under bounded rationality, fairness-driven contract design, and herd behavior in crowdfunding. For platform operations, I explore dynamic pricing, reputation systems, and matching algorithms to optimize gig economy and healthcare platforms. My approach integrates game-theoretic modeling, mechanism design, and numerical analysis to derive actionable insights. My interests also extend to blockchain-based platforms, AI-enhanced matching, and multi-platform competition in digital markets.
My research primarily applies game theory and optimization methods to study to study behavioral operations and platform operations, including crowdfunding, shared labor, and healthcare platforms, analyzing how human decision-making biases and strategic interactions shape operational efficiency, pricing, and matching mechanisms. In behavioral operations, I examine supply chain decisions under bounded rationality, fairness-driven contract design, and herd behavior in crowdfunding. For platform operations, I explore dynamic pricing, reputation systems, and matching algorithms to optimize gig economy and healthcare platforms. My approach integrates game-theoretic modeling, mechanism design, and numerical analysis to derive actionable insights. My interests also extend to blockchain-based platforms, AI-enhanced matching, and multi-platform competition in digital markets.