About
Hello, World!
Hi, I’m Giulio Isacchini, and I am currently a senior machine learning research scientist at Imprint Labs, a focused research organization that is working to decode disease information from immune receptor repertoires. Prior to joining Imprint, I was a Postdoctoral Scientist at UC Berkeley and a Humboldt Research Fellow at UniLeipzig characterizing where I studied how bacterial and viral evolution drives immune evasion.
I obtained my PhD jointly from ENS Paris and the Max Planck Institute for Dynamics and Self-Organization, Göttingen, where my research centered on generative modeling of immune receptor repertoires.
You can also find me on Scholar or Linkedin
