Talks & Posters
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2024
- September 10, 2024 All that glitters is not gold: tales from applying deep learning to clinical data
4th Clinics meets Data Science Symposium, Zurich, Switzerland [slides]
- May 27, 2024 The trouble with cross-validation
CBIO meeting [slides]
2021
- November 22, 2021 Network-guided genome-wide association studies
Duke Computational Biology Seminar, Durham, United States (online)
- November 16, 2021 IA et génomique (in French)
Focus IA, Institut Henri Poincaré, Paris, France [slides] [video]
- October 6, 2021 Network-guided genome-wide association studies
UCSF BBC Seminar Series, San Francisco, United States (online)
- September 27, 2021 Interpretable models with LIME and SHAP'
CBIO meeting [slides]
- June 17, 2021 Network-guided genome-wide association studies
Sven Furberg Seminar in Bioinformatics and Statistical Genomics, Oslo, Norway (online) [slides]
- May 26, 2021 Post-selection inference with kernels
Séminaire de probabilités et statistique, Laboratoire Paul Painlevé, Lille, France (online)
- May 10, 2021 Feature selection in high-dimensional genomic data
2021 French-German Machine Learning Symposium (online) [slides] [video (from 2:31:10 to 2:45:35)]
- March 16, 2021 Structured feature selection in high-dimensional genomic data
Séminaire du master Math pour les Sciences du Vivant (online)
- February 26, 2021 Machine learning and genomics: precision medicine vs patient privacy
AI in healthcare -- ethics, privacy and accountability issues (online) [slides]
2020
- November 22, 2020 What's next for AI research? (with Francis Bach)
France is AI (online)
- November 10, 2020 AI for Genomic - Machine learning and high-dimensional genomic data.
AI for Health (online)
- June 16, 2020 Post-selection inference with kernels for intergenic epistasis detection.
ELLIS Health Online Seminar. [slides] (online).
- March 10, 2020 Post-selection inference with kernels.
Optimization for machine learning, CIRM (France). [slides].
- March 9, 2020 Network-guided biomarker discovery.
CENTURI for living systems, Marseille (France).
- January 30, 2020 Machine learning tools for biomarker discovery.
HDR defense. [slides].
2019
- November 27, 2019 Solutions techniques pour garantir la confidentialité des données génomiques dans le contexte de la recherche biomédicale
Colloque « Données de santé et compétitivité : quels défis pour la technique et le droit ? », Mines ParisTech, Paris (France).
- November 20, 2019 Challenges of high-dimensional data for machine learning in precision medicine.
Sanofi AI Research day (France).
- October 30, 2019 Non-linear feature selection in high-dimensional genomic data sets.
Neyman Seminar, Berkeley, CA (USA). [slides].
- October 23, 2019 Feature selection in high-dimensional genomic data.
France is AI 2019, Paris (France). [slides].
- September 18, 2019 Biomarker discovery for precision medicine.
Mines Data Day 2019, Paris (France).
- July 4, 2019 Structured feature selection for biomarker discovery in precision medicine.
JOBIM 2019, Nantes (France). [slides].
- June 14, 2019 Challenges of high-dimensional data for precision medicine.
RLadies Strasbourg, Strasbourg (France).
- May 21, 2019 Apprentissage et statistiques : quels enjeux pour les femmes (avec Caroline Chavier).
Women in Science Conference in Honor of Nicole El Karoui, Jussieu (France). Extrait vidéo (de 10'20 à 11'31)
- May 15, 2019 Variable selection in high-dimensional data for precision medicine.
Éléments de mathématiques pour l'IA, ENS Cachan (France).
- May 9, 2019 Challenges of machine learning for precision medicine.
HPC, AI and precision medicine Intel-Curie Day, Institut Curie, Paris (France). [slides].
- April 11, 2019 Feature selection in high-dimensional data sets, with applications to precision medicine.
Séminaire IBENS, ENS Paris (France).
- April 8, 2019 Methods for multi-locus genome-wide association studies.
Séminaire MIA Agro ParisTech, Paris (France).
- April 2, 2019 Using structure to select features in high dimension.
Mathematics of Imaging Workshop, Institut Henri Poincaré, Paris (France). [video].
- March 21, 2019 Machine learning tools for multi-locus GWAS.
U900 seminar series, Institut Curie, Paris (France) [slides].
- February 15, 2019 Structured feature selection in high dimension for precision medicine.
PASADENA Workshop, Paris (France) [slides].
- February 12, 2019 Challenges and promises of machine learning for biomarker discovery.
Colloque Santé\@Labex, Lyon (France).
2018
- October 8, 2018 Challenges of high-dimensional data for machine learning in precision medicine.
Journée de rentrée de l'École Doctorale MSII, Université de Strasbourg (France) [slides] [Jupyter noteboook].
- June 17, 2018 Statistics in genetics diagnosis: challenges and promises.
ESHG Educational Session, Milan (Italy).
- May 31, 2018 Using structure to select features in high dimension.
dotAI, Paris (France) [slides] [Jupyter notebook] [video].
- May 16, 2018 Learning from others: multi-task learning for drug response prediction.
Machine Learning Strategies for Disease Prediction Workshop, Copenhagen (Denmark) [slides].
- May 15, 2018 Network-guided biomarker discovery for precision medicine.
Big Data Approaches in Health, Diseases, and Treatment Trajectories, Copenhagen (Denmark).
2017
- December 7, 2017 Structured feature selection in high dimension for precision medicine.
Imaging in Paris, Paris (France).
- November 28, 2017 Caractérisation des cancers par les données génomiques.
Séance commune Académie des sciences-Académie nationale de médecine Mathématiques, mégadonnées et santé: l’exemple du cancer, Paris (France) [slides] [vidéo].
- November 9, 2017 Leveraging task similarity in multi-task learning for drug response prediction.
Invited talk at Machine Learning and Molecules, Copenhagen (Denmark) [slides].
- October 31, 2017 Machine learning and genomics: precision medicine vs patient privacy.
Invited talk at The growing ubiquity of algorithms in society: implications, impacts and innovations (at The Royal Society) , London (UK) [slides] [audio].
- September 21, 2017 Network-guided high-dimensional feature selection in precision medicine.
Invited talk at the France-Japan machine learning workshop Paris (France).
- July 7, 2017 Challenges of high-dimensional data for machine learning in precision medicine.
Invited talk at ISCB BeNeLuxFra Student Symposium Lille (France).
- May 29, 2017 Challenges of high-dimensional data for machine learning in genomics.
Invited talk at ESHG 2017 Workshop W12: Big Data in Human Genetics: opportunities and challenges? Copenhagen (Denmark).
- April 25, 2017 High-dimensional feature selection in precision medicine.
ICLR Keynote Toulon, (France) [slides]
- March 21, 2017 Feature selection in high dimension for precision medicine.
MACARON workshop on optimization, machine learning, and pluri-disciplinarity Grenoble (France).
2016
- November 17, 2016 Network-guided biomarker discovery for precision medicine.
U900 Symposium, Institut Curie.
- October 21, 2016 Multi-locus genome-wide association studies.
Krupp Symposium From Machine Learning to Personalized Medicine Munich (Germany) [slides]
- September 15, 2016 Découverte de marqueurs génétiques guidée par des réseaux.
Commission de la Recherche, MINES ParisTech. [slides]
- June 15, 2016 Benefits of using scikit-learn for a machine learning researcher and instructor.
Scikit-Learn Day 2016 Paris (France). [slides]
- May 21, 2016 Beware of circularity: A critical assessment of the state of the art in deleteriousness prediction of missense variants.
Workshop on Big Data in human genetics: opportunities and challenges, ESHG 2016 Barcelona (Spain) [slides]
+ bonus slide (pdf) announcing the opening of the DREAM Idea Challenge on June 1st, 2016.
- April 1, 2016 Open science and genomics privacy.
Workshop on Machine Learning and Society, DALI 2016, Sestri Levante (Italy).
- January 13, 2016 Large p, small n: Feature selection with few samples in high dimension.
Paris Machine Learning Meetup. [slides] [video (low qual, in French)]
2015
- December 17, 2015 Large-scale network-guided feature selection for precision medicine.
DIBRIS, Università degli Studi di Genova (Italy).
- November 18, 2015 Large-scale network-guided feature selection for precision medicine.
CSGB Seminar, DIKU, University of Copenhagen (Denmark).
- October 20, 2015 Apprentissage statistique pour données omiques & médecine de précision.
Journées de l'école doctorale Pierre Louis de santé publique, Saint-Malo (France). [slides]
- June 11, 2015 Large-scale network-guided feature selection for precision medicine.
DBL Colloquium, TU Delft (The Netherlands).
- April 3, 2015 Reaching your DREAMs with Python.
PyData Paris 2015. [slides] [video]
2014
- October 20, 2014 Beware of circularity: A critical assessment of the state of the art in deleteriousness prediction of missense variants.
ASHG 2014, San Diego, CA (USA).
- August 24, 2014 Large-scale graph-guided feature selection with maximum flows,
FEAST Workshop at ICPR 2014, Stockholm (Sweden). [slides] [poster]
- April 15, 2014 Network-guided multi-locus association mapping with graph cuts.
UNATI Seminar, Neurospin (France).
- Feb 28, 2014 Network-guided multi-locus association mapping with graph cuts.
MIA-T Seminar, INRA Toulouse (France).
2013
- July 29, 2013 Large-scale network-guided feature selection in genome-wide association mapping.
SPL 2, EPFL, Lausanne (Switzerland).
- July 22, 2013 Network-guided multi-locus association mapping with graph cuts.
International Conference on Intelligent Systems for Molecular Biology (ISMB) 2013, Berlin (Germany) [slides] [video] (via free registration) [paper].
- July 19 & 20, 2013 Network-guided multi-locus association mapping with graph cuts.
Machine Learning in Systems Biology (MLSB) Workshop 2013 [poster]
(also presented at the Tübit 2013).
- July 2, 2013 Network-guided multi-locus association mapping with graph cuts.
French conference on biology, computer science and mathematics JOBIM 2013, Toulouse (France).
- June 5, 2013 Large-scale network-guided feature selection in genome-wide association mapping.
Signal processing—machine learning seminar, LIF, Marseille (France)[slides].
- March 26, 2013 Network-guided multi-locus association mapping.
EMBL-EBI, Hinxton (United Kingdom).
2012
- December 7, 2012 Efficiently Mapping Phenotypes to Networks of Genetic Loci.
Machine Learning and Computational Biology (MLCB) Workshop 2012 [poster].
- October 10, 2012 Mapping Phenotypes to Networks of Genetic Markers: a Min-Cut Solution to Feature Selection with Sparsity and Connectivity Constraints.
MPI Intelligent Systems Internal (Cake) Talk.
- May 24, 2012 Statistical Machine Learning and Data Mining for Chemoinformatics and Drug Discovery.
Memorial Sloan-Kettering Cancer Center, New York, NY (United States).
- May 21, 2012 Guided feature selection from incomplete data in disease-gene prediction and chemoinformatics applications.
University of Notre-Dame, Notre-Dame, IN (United States).
- May 16, 2012 GLIDE: GPU-based LInear Detection of Epistasis.
Broad Institute & Massachusetts General Hospital, Boston, MA (United States) [slides].
- May 14, 2012 Guided feature selection from incomplete data in disease-gene prediction, and chemoinformatics applications.
University of California Irvine, Irvine, CA (United States).
2011
- November 2, 2011 GLIDE: GPU-based LInear Detection of Epistasis.
MPI-IS Internal (Cake) Talk.
2010
- August 31, 2010 Statistical data mining and machine learning for chemoinformatics and drug discovery.
PhD final defense, University of California Irvine, Irvine, CA (United States).
- March 25, 2010 PropOrb: a frontier molecular orbital interaction proposer.
239th ACS Meeting, San Francisco, CA (United States) [slides ] [poster].
- March 8, 2010 Performing fast and accurate virtual high-throughput screening.
Center for Machine Learning Seminar Series, University of California Irvine, Irvine, CA (United States) [slides]
2009
- December 21, 2009 Performing fast and accurate virtual high-throughput screening.
Institut Curie, Paris (France).
- December 9, 2009 Performing fast and accurate virtual high-throughput screening.
Women in Machine Learning Workshop, NIPS 2009, Vancouver, BC (Canada) [poster].
- August 23, 2009 Kernels for biological sequences.
IBM R&D, Tel-Aviv (Israel) [slides].
- April 14, 2009 Performance prediction of the Influence Relevance Voter.
The Learning Workshop, Clearwater, FL (United States) [poster].
- March 24, 2009 Learning scoring functions for chemical expert systems.
237th ACS Meeting, Salt Lake City, UT (United States) [slides] [poster].
2007
- October 24, 2007 Learning molecular properties: structural representation of molecular data.
Advancement to Candidacy, University of California Irvine, Irvine, CA (United States) [slides].