Languages spoken: French (native), English (fluent), German (conversational)
2011—2013: Research Scientist
Max Planck Institutes, Tübingen (Germany)
Machine Learning and Computational Biology research group, headed by Karsten Borgwardt
Statistical methods and machine learning for GWAS analysis, epistasis detection, disease gene prediction.
2005—2010: Graduate Student Researcher
UC Irvine, Irvine, CA (United States)
Advisor: Pierre Baldi
Prediction of molecular properties (kernel methods), virtual high-throughput screening (kernel methods, neural networks), prediction of chemical reactions, docking.
2006—2008 UC Irvine, Irvine, CA (United States)
Introduction to Probabilities and Statistics for Computer Science (2008)
Introduction to Artificial Intelligence (2006)
2016—current Lotfi Slim, Detection of epistasis in genome-wide association studies with machine learning methods for biomarkers and therapeutic target identification (PhD, joint supervision with Jean-Philippe Vert at MINES ParisTech and Clément Chatelain at Sanofi)
2016—current Héctor Climente González, Integrating structural constraints in multi-locus genome-wide association studies (PhD, joint supervision with Véronique Stoven)
2016—current Christophe Le Priol, Systemic analysis of the micro-RNAs involved in epithelial cancers (PhD, joint supervision with Xavier Gidrol at CEA Grenoble).
2016 Athénaïs Vaginay, Multi-phenotype identification of biomarkers in a biological network (BiB Paris-Diderot Intern)
2014—current Vìctor Bellòn, Adverse drug reaction discovery (PhD, joint supervision with Véronique Stoven at MINES ParisTech)
2015 Killian Poulaud, Multitask feature selection in a graph (Supinfo Intern)
2014 Jean-Daniel Granet, Development and parallelization of the SConES tool for graph-guided GWAS (42 Intern)
2013—2014 Udo Gieraths, Machine Learning for identification of autosomal recessive genomic variants (MSc, joint supervision with Karsten Borgwardt and Hilal Kazan, Eberhard Karls Universität Tübingen)
2011—2012 Valeri Velkov, Mining correlated loci at a genome-wide scale (MSc, joint supervision with Karsten Borgwardt, Eberhard Karls Universität Tübingen)
2005: Master of Engineering
ENST Bretagne (France)
Specialization: Computer Science for Telecommunications
Scholarships & Awards
2014: Second-best performing team
Phase I of the DREAM 8.5 Rheumatoid Arthritis Responder Challenge
2013: Second-best performing team
Subchallenge 2 of the DREAM 8 NIEHS-NCATS-UNC DREAM Toxicogenetics Challenge
June 2013: Travel fellowship from JOBIM 2013 to attend the conference.
July 2012: Young researcher participant of the Lindau Nobel Laureate Meeting.
2011—2013: Alexander von Humboldt Research Fellowship.
2009—2010: IBM PhD Fellowship.
2007: First Prize and Invited Presentation
Agnostic Learning vs. Prior Knowledge Challenge at IJCNN 2007 (HIVA dataset).
2006: UC Irvine School of Information and Computer Science Scholarship
to attend the Grace Hopper Celebration for Women in Computing.
2005—2009: Ted & Janice Smith Graduate Fellowship.
PhD thesis committees
Flore Harlé, Multiple change-point detection in multivariate time series: application to the inference of dependency networks, Grenoble Alpes.
Reviews and Program Committees
More on my Publons profile.
Nowadays I only review for RoMEO green journals.
I'm also a member of the F1000 Prime "Bioinformatics, Biomedical Informatics & Computational Biology" Faculty, under the Cataloguing & Benchmarking Computational Methods Section.
Area chair: NIPS 2016.
2017 Jury in a young mathematicians tournament TFJM Strasbourg.
2014 Participated in a Woman in Mathematics awareness day (targeted towards high-schoolers), « Filles et maths : une équation lumineuse »