Our group tackles questions in immunology by harnessing techniques for large-scale molecular and cellular profiling. Within this scope, we have been developing and utilizing tools from statistical machine learning and other areas of statistics and computer science to enable an effective use of such techniques and drive new discoveries. 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, tissue context) and their implications in autoimmunity and cancer.
The group moved to the Weizmann Institute after several years at the department of Electrical Engineering & Computer Science at UC Berkeley. We thrive on interdisciplinary discussions, with members coming from various backgrounds including computer science, statistics, computational biology, immunology and medicine.
