Slim Fourati, PhD
Assistant Professor, Medicine
Research Program
Cancer-Focused Research
My research focuses on the use of bioinformatic analysis of high-throughput data (like RNA-Sequencing, Flow cytometry) to identify biological mechanisms associated with the immune response to perturbations, the use of machine learning to build models able to predict response to prophylactic therapies and the use of in silico modeling to identify new therapeutic intervention.