Florence d'Alché-Buc

Holder of the Télécom Paris Chair about Data Science and Artificial Intelligence for digitalised industry and services,
Funded by industrial partners: Airbus Defense and Space, ENGIE, IDEMIA, SAFRAN, VALEO – Started in 2019.

Formerly head of DigiCosme, the ANR Excellence laboratory in Computer Science of Paris-Saclay University

Research Interests
Machine Learning & Artificial Intelligence, bioinformatics & medical applications, industrial applications.
Subdomains: (Operator-valued) Kernel Methods, Structured Output Prediction, Complex data, Reliable Machine Learning, Dynamical Systems Modeling.

And also
Professeur des Universités on leave from, Université d’Evry/Université Paris-Saclay.
Associated member and founder of the group AROBAS at IBISC, Université d’Evry/Université Paris-Saclay.
Occasional collaborator of CMAP, Ecole Polytechnique.

Recent services
Co-program chair at NeurIPS 2019 Senior Area chair at Neurips 2018 Member of program committee of Data Summer School, Palaiseau, May 28 – June 1, 2018

Events
AI & Genomics: talk at Colloque Génomique Numérique, nov 21, 2019.
our ACML paper about Functional Isolation Forest to be presented by Guillaume Staerman in Nagoya, November 19-21, 2019
our EMLNP paper to be presented by Pierre Colombo in Hong-Kong, November 3-7, 2019
– Talk about AI, Sept 16, Airbus, Paris, 2019.
– Talk about AI, March 27, Académie de Versailles, Journée ISN, INRIA Rocquencourt, 2019
– Jan 2019: Our papers “Infinite task Learning with RKHSs” with Romain Brault and Alex Lambert (first authors) and Zoltan Szabo and Maxime Sangnier, and “Autoencoding any data with kernel autoencoders” with Pierre Laforgue (first author) and Stephan Clémençon just accepted at AISTATS 2019
– Talk at Horizon Maths about AI and ML, Nov 23, 2018.
– Talk at Journées France-IA, Oct 17, 2018.
– Member of Programme Committee of Workshop on Machine Learning and Explainability, Orléans, Oct 8.
– Meetup Women in Machine Learning, Sept 26, 2018.
– Talk at Observatoire AAF du digital, Sept 19, 2018: Artificial Intelligence and Machine Learning, successes and challenges.
– Sept 18, 2018: Our paper “Temporal clustering analysis of endothelial cell gene expression following exposure to a conventional radiotherapy dose fraction using Gaussian process clustering” with Markus Heinonen and Olivier Guipaud and colleagues from IRSN has just been accepted to Plos one.
– Organizing Int. Workshop on Machine Learning and AI, Chair Machine Learning for Big Data, Télécom Paris, Paris, 17-18 Sept 2018.
– Member of program committee of 3rd Junior Conference on Data Science and Engineering, Orsay, 13-14 Sept 2018.
– Talk at Workshop on Gaussian Processes, Sheffield University, Sept 6, 2018.
– Our paper A structured Prediction Approach for Label Ranking accepted at NIPS 2018.
– Déjeuner scientifique aux Journées Statistiques 2018 (31 Mai 2018)
– Our paper on Structured Output Learning with Abstention, accepted at ICML 2018.

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