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Andrés Cristi is an accomplished academic at École Polytechnique Fédérale de Lausanne (EPFL) specializing in areas such as Online Algorithms, Sequential Decision-Making, Algorithmic Game Theory, and Mechanism & Market Design. He actively teaches courses like Algorithmic Game Theory, focusing on mathematical models and the interplay of algorithms with strategic behavior, and Applied Probability & Stochastic Processes, which examines dynamic random phenomena models. His courses are known for their engagement with fundamental concepts, including Nash equilibria, price anarchy, auctions, market design, and incentive compatibility, offering students critical insights into real-world applications in fields such as finance, project management, and queuing theory. Additionally, he oversees PhD students and contributes to advancing research in these competitive domains. His professional profile is publicly accessible on his website, providing further information about his work and contributions in the field.
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