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My main research direction is tightly integrating combinatorial optimization into deep learning pipelines so that predictive models can be trained end-to-end with decision-making modules. Additionally, I have worked on machine learning methods for speeding up combinatorial solvers. More broadly, I am interested in machine learning, combinatorial optimization, and developing new methods for tightly integrating the two. I am currently looking for industry positions that can leverage my skills in machine learning, data science, and optimization.
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IISE TRANSACTIONSno. 3 (2024): 355-373
Integration of Constraint Programming, Artificial Intelligence, and Operations Researchpp.460-476, (2023)
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Mathematics of Operations Researchno. 4 (2023): 2304-2307
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BIG EARTH DATAno. 2 (2023): 1-11
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