Corps professoral

Xuefei LU

Professeur assistant

Statistical Machine Learning Uncertainty Quantification Big Data Problems Bayesian Non-Parametrics, Uncertainty Quantification, Recherche opérationnel, Intelligence artificielle

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Xuefei LU

Académie

Digitalisation

Centre de recherche

SKEMA Centre for Analytics and Management Science

Localisation

Paris

Discipline

Analytics Information & Operations
Formation
2019
Ph.D. in Statistics, Bocconi University, Italie
2013
MSc in Analytics: Operational Research and Risk Analysis, The University of Manchester, Royaume Uni
Expérience professionnelle
Positions académiques principales
Depuis 2021
Assistant Professor, SKEMA Business School, France
2020 - 2021
Assistant Professor, Management Science and Business Economics Group, University of Edinburgh Business School, Royaume Uni
2018 - 2020
Chercheur postdoctoral, Politecnico di Milano, Italie
Contrats de recherche, prix et distinctions
Prix et distinctions
2024
European Journal of Operational Research 2024 Editors’ awards for excellence in reviewing, European Journal of Operational Research (EJOR)
2024
Clemen-Kleinmuntz Decision Analysis Best Paper Award, The Institute for Operations Research and the Management Sciences (INFORMS), Etats-Unis d'Amérique
2023
European Journal of Operational Research 2023 Editors’ awards for excellence in reviewingEuropean Journal of Operational Research 2023 Editors’ awards for excellence in reviewing, European Journal of Operational Research (EJOR)
2020
European Journal of Operational Research 2020 Editors’ awards for excellence in reviewing, European Journal of Operational Research (EJOR)
Autres activités de recherche
Supervision de thèses
Depuis 2023
K. SAHATOVA, SKEMA Business School, Doctorat, Co-directeur de thèse
Depuis 2021
Z. OUYANG, University of Edinburgh Business School, Doctorat, Co-directeur de thèse
2023
M. BUDZINSKI, Bocconi University, Doctorat, Rapporteur

Articles académiques revus

Actes d’une conférence

Présentations dans des conférences

Présentations dans des séminaires de recherche