Prof. Nir Yosef
Systems Immunology
We are taking a data- centric perspective on studying how changes in transcription are associated with molecular and cellular phenotypes in immunity and cancer. In that capacity, the lab is developing computational tools and leverages single cell genomics to reach a better understanding of the factors that contribute to variability between cells (e.g, metabolic activity, microenvironment) and their broader implications (e.g., in autoimmunity). We are an interdisciplinary group, with interests in statistical machine learning, algorithms, T cell biology and cancer immunology. The lab has very recently moved to the Weizmann Institute from UC Berkeley. For more information about our work, check out our web site.
Field
Computational Biology, Immunology
Research Focus
We develop algorithms and utilize single cell genomics for studying the organization and function of immune cells in a tissue
Model Organism
Major Methods