
Machine learning [85]


Stéphane Rigaud
Image Analysis Hub
Stephane’s background is mainly oriented on mathematics and computer science applied to image analysis. He obtained Master degree in 2010 from the computer science department of Universite Pierre et Marie Curie (Paris, France), where […]

Karen Druart
Mass Spectrometry for Biology

Chunzi Yao
Statistical Genetics

Corentin Guérinot

Mitochondrial Biology
Timothy Wai

Luc Blassel
Sequence Bioinformatics
Luc Blassel’s PhD project, funded by PRAIRIE, is to apply machine learning techniques to the analysis of sequence data. Traditional sequence alignment and analysis methods might not be able to perform as well as […]

ANNA-PALM
Christophe Zimmer

Expertise group : Stats
Pascal Campagne

Comprehensive characterization and effective combinatorial targeting of high-grade serous ovarian cancer via single-cell analysis (HERCULES)
Benno Schwikowski

Adrien Cerdan
I am currently a Ph.D. student in theoretical chemistry at the University of Strasbourg. My current research projects are mostly focused on pentameric ligand-gated ion channels (pLGICs), especially the elucidation of the gating mechanism […]

Dmitry Ershov
Bioinformatics and Biostatistics HUB
Dmitry’s background training is physics/biophysics. He obtained Master degree working in biophysics department in Saint-Petersburg University (Saint-Petersburg, Russia), where he studied radioprotective properties of plants-derived catechins and the mechanisms by which they protect DNA […]

Hanna Julienne
Statistical Genetics
I am seeking to apply my knowledge in computer science and statistics to understand real world data. I have an interdisciplinary background spanning complex systems, Big Data, machine learning, biostatistics and genomics. I have […]

Alexandra Moine-Franel
Chemoinformatics and proteochemometrics

Yang-Min Kim
Autism Spectrum Disorders (ASD) are heterogeneous neurodevelopmental disorders diagnosed in more than 1% of the population. For better prognosis and treatment, genetic stratification is suggested which aims to classify patients into more homogeneous subgroups. My […]

Christian L. Vestergaard
Decision and Bayesian Computation
I am a statistical physicist and biophysicist with a main interest in data-driven modeling and in developing methods for the analysis of complex dynamical systems. The focus of my research has been on time-varying […]