Mathematician-turned-data-scientist developing innovative approaches for multivariate omics
Embarking on an intellectual journey with a double major in mathematics and physics at UC Berkeley, Eitan delved into abstract realms. His PhD at the University of Colorado focused on discovering properties of cyclic cocycles on twisted convolution algebras. As a post-doctoral fellow at the University of Lorraine, Eitan expanded this research. Transitioning to the applied field of data science, Eitan now channels his considerable talents at Golgi, developing innovative approaches for the analysis of multivariate omics data.