Luc Blassel
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 […]
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 […]
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 […]
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 […]
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 […]
I am a research engineer with a background in applied Mathematics. I have been working at Institut Pasteur since 2017, as a member of the Statistics Group of the Hub of Bioinformatics and Biostatistics. I […]
Biomolecule random walk analysis I am in charge of developping the TRamWAy Python library for random walk analysis. The library features multiple tools to build processing chains/pipelines for the spatial or spatio-temporal resolution of […]
I am currently a biostatistician in the Hub of Bioinformatics and Biostatistics. Before that, I worked at the Brain and Spine Institute (Paris, France), NeuroSpin (Saclay, France) and in the Ludwig Maximilian University (Munich, […]
Since September 2016, I am a research engineer in the Bioinformatics and Biostatistics HUB of the Institut Pasteur and detached in the Proteomics facility. I have a PhD in Signal Processing from the Ecole […]
IINCEPTION Goal The Inception aims to develop a core structure to mobilize data resources, numerical sciences, and fundamental experimental biology in various health issues (Official website here: https://www.inception-program.fr/en). The inception program uses Integrative Biology, […]
While the amount of genetic data is ever-increasing, many current methodologies to explore such data are based on heavy computation that does not scale well. This is particularly true in Phylodynamics, a field at […]