Yosef Lab

Department of Systems Immunology, Weizmann Institute of Science

We are an interdisciplinary group, with interests in genomics, statistical machine learning, algorithms, T cell biology and tumor immunology.

We have recently moved to the Weizmann Institute from the Department of Electrical Engineering & Computer Science at UC Berkeley. Our lab takes a data- centric perspective on studying how changes in transcription are associated with cellular phenotypes in immunity and cancer. To achieve that, we are developing and applying computational tools to design and make sense of large molecular data sets. We have special interest in single cell genomics, with the goal of delineating and better understanding the factors that contribute to variability between cells (e.g, metabolic activity, chromatin structure, microenvironment) and their broader implications in autoimmunity and cancer.

Examples software projects:

  • scvi-tools for end-to-end analysis of single-cell omics data with deep generative models
  • cassiopeia for single cell lineage tracing
  • vision for interactive interpretation of single cell RNA-seq and CITE-seq data
  • epitome for prediction of epigenetic events using chromatin accessibility