I am Ghislain DURIF.
Here you can find information about my engineering and research work in applied mathematics, including data science, statistics, machine learning, bio-informatics, and more.
Starting from February 2019, I am a research engineer at CNRS, based at the Institut Montpelliérain Alexander Grothendieck (IMAG), the Mathematics lab from the University of Montpellier, located in the south of France.
Previously (2017-2019), I was a research engineer at Inria (Grenoble, France) in THOTH team, under the supervision of Julien Mairal.
I did my PhD (2013-2016) at the Biometry and Evolutionary lab (LBBE), at the Claude Bernard Lyon 1 University (Villeurbanne, France), under the supervision of Franck Picard and Sophie Lambert-Lacroix.
PhD in Statistics, 2016
Claude Bernard Lyon 1 University
Master degree in Applied Mathematics, 2013
Claude Bernard Lyon 1 University
On-going projects, more to come.
More details are available here.
Python package for haplotype phasing and local ancestry inference
Python package for haplotype phasing and local ancestry inference
Probabilistic count matrix factorization for single cell transcriptomic data analyses (dimension reduction, visualization).
Optimization toolbox for sparse estimation, implementing algorithms that solve machine learning and signal processing problems involving sparse regularizations.
Supervised methods for dimension reduction in classification and regression framework (in particular PLS-based routines for genomic data analyses).
Re-implementation of Convolutional Kernel Network (CKN) from Mairal (2016) in Python based on the TensorFlow framework
More can be found here.