Spatial Genomics Group
Research in the Spatial Genomics group includes a combination of technology development, data analysis and experimental work and aimed at developing new insights into learning and memory, neurological diseases and cancer biology.
Spatial genomics is a new field that seeks to map the physical position of millions of RNA molecules in cells and tissues and correlate them to normal and pathological conditions. We developed a technology for RNA sequencing inside tissues, which allows studying RNA molecules with unprecedented detail. We use this technology to unravel how molecular content is stored within cells in space in order to understand the function of complex tissues.
Our new wet lab at the engineering faculty is now open (April 2020)
Read this introduction article to learn about our new lab (April 2020)
We are excited to welcome Alex and Noa to our lab! (July 2020)
Our lab is recruiting excellent students who are interested in the fields of: data analysis and big data, machine learning, image processing, genomics, neuroscience, cancer biology, systems biology, automation, fluidics, super-resolution imaging and more.
Candidates with bachelor degrees in engineering, physics, computer science, neuroscience, chemistry and biology are encouraged to apply.