معرفی
Vincent Laville is a Researcher at the Hub of Bioinformatics and Biostatistics at Institut Pasteur, Paris, France. He is embedded in the Stem Cell and Development unit within the Department of Developmental and Stem Cell Biology. His work focuses on analyzing large genomic and transcriptomic datasets to decipher the architecture of complex phenotypes.
Vincent earned his PhD in Bioinformatics in 2015 from the Conservatoire National des Arts et Métiers under the supervision of Jean-François Zagury. Prior to that, he obtained an Engineer degree in Statistics with specialization in Biostatistics from the Ecole Nationale de la Statistique et de l'Analyse de l'Information (ENSAI) in Rennes in 2010. His academic background includes preparatory classes for the Grandes Écoles with a Mathematics-Physics focus at Lycée Chaptal in Paris.
His research expertise spans Bioinformatics, Biostatistics, and Genomic Analysis. He specializes in processing and analyzing bulk and single-cell transcriptomic datasets, statistical analysis of high-dimensional data, and supporting researchers in designing statistically efficient experiments. His work includes Genome-Wide Association Studies, gene-environment interactions, and developing methods for analyzing complex phenotypes.
Vincent's publication record demonstrates a strong focus on methodological development in statistical genetics, particularly in gene-environment interactions. His recent work spans diverse biological domains including embryonic development, cellular aging, sex determination mechanisms, and muscle stem cell biology, showcasing the interdisciplinary nature of his bioinformatics expertise.
As an active member of the academic community, Vincent contributes to the Bioinformatics program for PhD students at Institut Pasteur, which is financed by the INCEPTION program. This training program in statistics, bioinformatics and image analysis includes a mandatory common core followed by specialized tracks.
