Prof. Amos Tanay

We combine computational and experimental work to understand how single cells regulate their genes, enhancers and chromosomal conformations. We develop models to test how cells work together to form (artificial) tissues in new embryonic models, and we combine single cell work and analysis of massive electronic health records to explore how cells within tissues lose stability during age-related disease.

Most importantly - we are passionate about understanding how biology works and believe massive data analysis and mechanistic/causal understanding should never be in conflict - their synthesis represents not just one of the greatest, but also one of the most fun challenges in today's science. Let's use machine learning - but do it in order to understand how stuff actually work!

The main current challenges we are engaged with - and the possible foci of a rotation with us - involve epigenetics, cellular commitment in mammalian embryos, models of ageing and disease in the blood, dynamics of immunotherapy and emerging challenges in harnessing single cell work to understand genome and epigenome evolution.