Florence d'Alché-Buc
Scholar

Florence d'Alché-Buc

Google Scholar ID: -qbL7z0AAAAJ
Télécom Paris, Institut Polytechnique de Paris
Statistical learningstructured and functional predictionrobustnessoperator-valued kernelsBioinformatics
Citations & Impact
All-time
Citations
2,660
 
H-index
25
 
i10-index
48
 
Publications
20
 
Co-authors
45
list available
Contact
No contact links provided.
Resume (English only)
Academic Achievements
  • Associate Editor of IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI) (currently on break)
  • Action Editor for Journal of Machine Learning Research (JMLR)
  • Member of INRA Evaluation Committee since October 2023
  • Senior Area Chair for ICML 2023, 2022 and NeurIPS 2023, 2022, 2021
  • Co-program Chair at NeurIPS 2019; Senior Area Chair at NeurIPS 2018
  • Member of the Advisory Board of IVADO (Montreal, Canada)
  • Multiple papers accepted at top venues: NeurIPS 2024 (Any2Graph), ICLR 2025, ECML/PKDD 2024, AISTATS 2024, IEEE TASLP, TMLR, etc.
  • Keynote speaker at SCEFA workshop (ECML/PKDD 2023, Turin)
  • Keynote at Trilateral AI Conference 2024 (Tokyo)
Research Experience
  • Full Professor at Télécom Paris (IMT), Institut Polytechnique de Paris; member of LTCI, Dept Image Data and Signal, S2A Team
  • Head of the Image, Data and Signal Department at Télécom Paris (Sep 2021 – Oct 2023)
  • Head of DigiCosme, the ANR Excellence Laboratory in Computer Science of Paris-Saclay University (2017–2019)
  • Holder of the Télécom Paris Chair on 'Data Science and Artificial Intelligence for digitalised industry and services' (2019–2023), funded by Airbus Defense and Space, ENGIE, IDEMIA, SAFRAN, VALEO
  • Holder of a Simons Chair at Isaac Newton Institute, Cambridge, UK (May 5 – June 30, 2025); co-organizing the thematic programme 'Representing, Calibrating and leveraging predictive uncertainty: from statistics to machine learning'
  • ELLIS Fellow and member of the ELLIS Board; in charge of the ELLIS PhD programme