Group Leader and Assistant Professor at Karolinska Institutet. Applying genomics tools to study nervous system regeneration. Interested in…see below

Stockholm, Sweden
Joined December 2014
Join us! Still a few days left to apply 👇
We're hiring! If you're interested in CNS regeneration, glia, genomics, cross-species studies and/or deep learning, we have 3 open roles: computational postdoc, wet lab postdoc, computational RA. Details + links: 🧵
177
Enric Llorens retweeted
Erdinc Sezgin @Sciezgin was not in the aging field when he came to us with an idea: test whether membrane fluidity, stiffness, viscosity and molecular organization could be measured together to build a biophysical clock of aging and resilience. We funded him to pursue it via @impetusgrants. He has since produced three papers building what he needs to answer that question, including better probes for labelling cell membranes, software that turns images into biophysical measurements, and evidence that membrane properties distinguish cell states. The longevity field is richer with people like Erdinc joining from other fields and bringing new expertise with them. Read the papers here: doi.org/10.1039/d5cb00116a doi.org/10.1242/jcs.262166 doi.org/10.1101/2024.01.15.5…
1
8
1
24
1,675
Last night, I gave a speech for the University of Washington's "Neuroscience, AI and Society" lecture series, through the university's Computational Neuroscience Center. 1/
3
69
27
149
64,386
We're now really excited about having easy genetic access to these and other cell states and even more to further exploit the precision with which we can now program gene expression in them! We're hiring at multiple levels (postdocs,...) so reach out if this sounds interesting!
1
55
This was spearheaded by @MargheritaZamb2 with contributions from Adrian Martinez, Gabriel Rydholm, @TimmHaneke , Laura Pintado, @denizsecilmis and @chris_zie . Huge thanks to our funders @strategiskaSSF @Vetenskapsradet @ERC_Research among others!
1
66
Enric Llorens retweeted
A single E. coli weighs about one picogram, or 60 million times less than a grain of sand. How do we know that? For my latest @AsimovPress essay, I explain how scientists weigh cells. In one case, in the 1950s, they did it using little more than sugar water and a microscope.
5
17
2
132
9,297