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Julie Jacques

Maîtresse de conférences CNU : SECTION 27 - INFORMATIQUE
  • +33 3 28 77 85 37
    • Schools and divisions Research topics Optimization Keywords Combinatorial Optimization, Imbalanced Data, Partial Classification, EXplainable AI (XAI), Medical Informatics

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    Introduction

    I am interested in interactions between white-box machine learning and combinatorial optimization. I work(ed) on multi-objective rule mining, biclustering, recommendation systems, neural architecture search. More recently, I work on how to improve explainability of word embeddings using combinatorial optimization. When possible, I like to apply my research to industrial problems, especially (but not restricted) to medical informatics.

    I am currently a lecturer in computer science, at the Faculty of Sciences of Lille University and CRIStAL (ORKAD Team). Between 2017 and 2022 I worked as a teacher and researcher at Lille Catholic University, where I created and managed the bachelor in computer sciences (75 students). Previously, between 2008 and 2017, I worked as a research engineer in Alicante Company and I won the award of the Phd in collaboration with a company in 2015.