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Jiequn Han

Research Scientist · Flatiron Institute

Research Scientist at the Flatiron Institute's Center for Computational Mathematics, working on learning-based algorithms for scientific computing, PDEs, optimal control and mean field games. Co-author of DeepHAM, a deep-learning solution method for heterogeneous agent models. Received the SIAM CSE Early Career Prize in 2025.

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