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" setting [4], where the benchmark is the optimal online algorithm rather than the expected maximum, making the competition more dynamic. - Study settings where multiple items are allocated to buyers, such as
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considered, preference may be given to applicants whose work bridges theory and applications in data analysis, discrete mathematics, linear algebra, or optimization, and they are especially encouraged to apply
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Experience in developing heuristic and exact methods (e.g., branch-and-bound/branch-and-cut) to address combinatorial optimization problems pertaining to the fields of operations management and logistics
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global supply chain logistics. While ML has the potential to transform both applied large-scale optimization and theoretical combinatorial optimization, algorithmic reasoning remains a significant