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2019

  • 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 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 3, 2019 Questions de recherche en machine learning et santé.
    Conférence grand public dans le cadre du Master MSIT à MINES ParisTech, Paris (France) [slides].
  • 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) [slides].

2018

2017

  • December 7, 2017 Structured feature selection in high dimension for precision medicine.
    Imaging in Paris, Paris (France).
  • April 25, 2017 High-dimensional feature selection in precision medicine.
    ICLR Keynote Toulon, (France) [slides]

2016

  • November 17, 2016 Network-guided biomarker discovery for precision medicine.
    U900 Symposium, Institut Curie.
  • 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]

+ bonus slide (pdf) announcing the opening of the DREAM Idea Challenge on June 1st, 2016.

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).
  • June 11, 2015 Large-scale network-guided feature selection for precision medicine.
    DBL Colloquium, TU Delft (The Netherlands).

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).
  • 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

  • October 30, 2013 Neural Networks: A Very Brief Introduction. (one-hour tutorial at MLCB) [slides]
  • 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).
  • 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 16, 2012 GLIDE: GPU-based LInear Detection of Epistasis.
    Broad Institute & Massachusetts General Hospital, Boston, MA (United States) [slides].

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].