Vassilissa Lehoux | Naver Labs Europe
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Machine Learning and Optimization

Vassilissa Lehoux is a senior research scientist in the Machine Learning & Optimization group.

During her career, she has applied her expertise in algorithms and operational research to solve discrete optimization problems in the fields of transportation and scheduling.

Her current focus is on multicriteria path problems, with application to multimodal mobility, and she oversees the Routing in Uncertain Large Multimodal Graphs project.

Lehoux holds an engineering degree in computer science and applied mathematics from the ENSIMAG and a M.Sc. and a PHD in Operational Research from the university Joseph Fourier (Grenoble).

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