fran├žois aguet

I am a computational biologist at the Broad Institute, where my research interests are centered on the functional impact of human genetic variation and cell type-specific regulation of gene expression, and in this context, the development and application of methods for quantification of RNA sequence data. I am a member of the Genotype-Tissue Expression (GTEx) Project Consortium (, which aims to characterize the effect of genetic variation on gene expression across human tissues.
Previously, I was a postdoctoral fellow in Gaudenz Danuser's lab at Harvard Medical School, where my research combined image analysis and mathematical modeling approaches to measure complex cellular processes using high-resolution fluorescence microscopy. I applied these tools to study the endocytic machinery at the cell membrane responsible for uptake of cell surface proteins and signalling receptors. I obtained my PhD in computer science in Michael Unser's lab at the Swiss Federal Institute of Technology in Lausanne (EPFL) with a thesis on image processing for super-resolution fluorescence microscopy. I graduated with an MSc in computer science from the same institution.

Latest paper

F. Aguet*, S. Upadhyayula*, R. Gaudin*, Y.-y. Chou, E. Cocucci, K. He, B.-C. Chen, K. Mosaliganti, M. Pasham, W. Skillern, W.R. Legant, T.-L. Liu, G. Findlay, E. Marino, G. Danuser, S. Megason, E. Betzig, T. Kirchhausen, "Membrane dynamics of dividing cells imaged by lattice light-sheet microscopy," Mol. Biol. Cell, in press, 2016.