Prof. Sol Efroni's group focuses on the use of machine learning and high-throughput biology to explore information extracted from peripheral blood and specifically from T cells. The group uses this approach to perform early detection of disease and to guide treatment.

Prof. Efroni's previous experience includes a PhD in Computer Science and in Immunology from the Weizmann Institute, and a postdoctoral fellowship at the National Cancer Institute/NIH.