Ideas:
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I study the interplay between algorithms (for computation), data (for learning), and incentives (for modeling strategic behavior) in real-time operations management. My primary research goal is to develop and advance the modern theoretical methodologies used by market algorithms/mechanisms in dynamic and complex environments. I leverage the theory to address various operational challenges in practice, ranging from designing computationally and economically efficient (or profitable) online marketplaces, to designing socially-aware decision making policies (for equity, fairness, and non-discrimination) in operations of governmental agencies and non-profit organizations.
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