Auguste Genovesio is a group leader in image analysis in the Imaging Platform of the Broad Institute of MIT and Harvard. He and his team create image and data analysis algorithms to mine automated microscopy large-scale experiments, also known as high-content screening. More specifically, Genovesio proposes data analysis methodology for detecting and analyzing subpopulations of cells through individual visual profiling.
Genovesio joined the Broad in 2011 after founding and leading the Image Mining group at the Institut Pasteur Korea for six years. He received a Ph.D. in computer science at the Pasteur Institute and Descartes University, an M.S. in artificial intelligence at Marie Curie University, a B.S. in computer science at Marie Curie University, and a B.S. in mathematics and economy at the Sorbonne/Denis Diderot University.
Genovesio A et al. Automated genome-wide visual profiling of cellular proteins involved in HIV infection. J Biomol Screen. 2011 Oct;16(9):945-58. Epub 2011 Aug 12.
Arhel N, Genovesio A, et al. Quantitative four-dimensional tracking of cytoplasmic and nuclear HIV-1 complexes. Nat Methods. 2006 Oct;3(10):817-24.
Cabal GG, Genovesio A et al. SAGA interacting factors confine sub-diffusion of transcribed genes to the nuclear envelope. Nature. 2006 Jun 8;441(7094):770-3.