Weizmann groups are at the forefront of the search for a new computational language for biology and medicine. They are synthesizing new methods and ideas from machine learning and data science, with deep understanding of the underlying biology or medical challenges. The combination of theoretical, computational and experimental work is frequently achieved within the same lab and by researchers and students that become well immersed in multiple disciplines. The highly flexible scientific culture at Weizmann allows for interactions across all faculties, with physicists, neuroscientists, chemists and environmental scientists all sharing and exchanging techniques and strategies for handling very large-scale data in order to understand how biology is working.
The core CS/biology groups of Eran Segal, Udi Shaprio and Amos Tanay are international leaders in biomedical signal processing, microbiome and nutrition, data-rich patient models, cell lineages, single cell genomics, genome regulation and more. They are part of the world class interdisciplinary group of systems biology at Weizmann including over 20 groups integrated into all Weizmann faculties. CS/biology groups are also central for the Weizmann AI hub, in which methods developers and biomedical researchers define and solve together the most exciting problem in CS-driven biology and medicine.