About me

Research engineer at CNRS, based at the Institut Montpelliérain Alexander Grothendieck (IMAG), University of Montpellier, France.

Additional links of interest:

Interests
  • Applied Mathematics
  • Statistics, Machine Learning, Artificial Intelligence
  • Data Science
  • Bio-Statistics, Application to Biology
  • Software Development and Programming
  • High Performance Computing
  • Reproducible Research and Open Science
  • Energy-efficient and environmentally friendly research and computing
Education

  • PhD in Statistics, 2016

    Claude Bernard Lyon 1 University

  • Master degree in Applied Mathematics, 2013

    Claude Bernard Lyon 1 University

Background

 
 
 
 
 
Research Engineer
CNRS
Jul 2022 – Present Lyon, France
Laboratory of Biology and Modeling of the Cell (LBMC) at ENS Lyon
 
 
 
 
 
Research Engineer
CNRS
Feb 2019 – Jun 2022 Montpellier, France

Institut Montpelliérain Alexander Grothendieck (IMAG) at University of Montpellier

Support for researchers in applied mathematics regarding:

  • mathematical engineering
  • software development and programming
  • high performance computing

Involvement:

 
 
 
 
 
Research Engineer
Inria
Feb 2017 – Jan 2019 Grenoble, France

THOTH team

Engineering and research work in machine learning, under the supervision of Julien Mairal.

 
 
 
 
 
PhD
Claude Bernard Lyon 1 University
Oct 2013 – Jan 2017 Lyon, France

Biometry and Evolutionary lab (LBBE)

Computational statistics applied to biology (genomic data analysis), under the supervision of Franck Picard and Sophie Lambert-Lacroix.

Contact

Softwares

NIPD
Bayesian inference for non-invasive prenatal diagnostic of genetic diseases
Dec 16, 2021 NIPD
Code
YALES2BIO
Numerical solver for fluid mechanics
Dec 7, 2021 yales2bio
Code
BenchOpt
Benchmark repository for optimization
Mar 8, 2021 IMAG, Machine Learning
Code Doc
See all softwares

Recent Publications

Zaineb Smida, Lionel Cucala, Ali Gannoun, Ghislain Durif (2022). A Wilcoxon-Mann-Whitney spatial scan statistic for functional data. Computational Statistics & Data Analysis.

Cite DOI HAL publi

Clémentine Decamps, Alexis Arnaud, Florent Petitprez, Mira Ayadi, Aurélia Baurès, Lucile Armenoult, HADACA consortium, Sergio Escalera, Isabelle Guyon, Rémy Nicolle, Richard Tomasini, Aurélien de Reyniès, Jérôme Cros, Yuna Blum, Magali Richard (2021). DECONbench: a benchmarking platform dedicated to deconvolution methods for tumor heterogeneity quantification. BMC Bioinformatics.

Cite DOI URL

Jeff E. Mold, Laurent Modolo, Joanna Hård, Margherita Zamboni, Anton J. M. Larsson, Moa Stenudd, Carl-Johan Eriksson, Ghislain Durif, Patrik L. Ståhl, Erik Borgström, Simone Picelli, Björn Reinius, Rickard Sandberg, Pedro Réu, Carlos Talavera-Lopez, Björn Andersson, Kim Blom, Johan K. Sandberg, Franck Picard, Jakob Michaelsson, Jonas Frisén (2021). Divergent clonal differentiation trajectories establish CD8+ memory T~cell heterogeneity during acute viral infections in humans. Cell Reports.

Cite DOI publi

See all publications

Recent & Upcoming Talks (selection)

Statistics and machine learning for applications in biology
Jan 14, 2022 14:00 — 15:00 LBMC, ENS Lyon, France
Slides
Reproducible research, Good practices and useful information
Jun 23, 2021 09:45 — 10:45 Online (from Montpellier University, France)
Slides
R shiny: building interactive graphical applications seamlessly
Feb 18, 2021 14:00 — 15:00 Online (from IMAG, Montpellier University, France)
Slides
See all talks

Courses/Training

Courses given at the university.

Training and/or tutorials given for an academic audience in various contexts.

SEE THE DEDICATED PAGE

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Tags

Autodifferentiation Classification Data visualization Dimension reduction Gene expression genomics GPU High-dimensional data Kernel operation Logistic regression Machine Learning Matlab Matrix Factorization Matrix reduction Python R RNA-seq Single-cell Sparse PLS Statistics
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