Yes yes I know. Most science has been hypey forever. But it's hyperaccelated now with this weird meld of academic science & startup culture + social media and highly skilled amplification by marketing & PR teams. 3/

That's totally fair. Just a very different point from "if they don't have the ambition for a career in science, they should not do a PhD". Not everyone who wants to learn how to do science also wants to pursue an academic career.

I'm just curious about your position. Is it "you should only do a PhD if you want to become a professor" or is wanting to becoming a "scientist" in industry also fine? Your objection to "careers outside universities" implies the former, but I wanted to clarify

Do you consider going into pharma/biotech R&D a "career in science"?

Massive thanks to brilliant co-lead @dominik1klein.bsky.social, Daniil, Aviv, as well as everyone else from the labs of @fabiantheis.bsky.social, @graycamplab.bsky.social & Barbara

What's really cool is that CellFlow enables screening organoid protocols entirely in silico, by learning from systematic organoid morphogen experiments (thx @nazbukina.bsky.social & Fatima!)

CellFlow is particularly good at modeling complex and heterogenous cell distributions. When applied to an iNeuron morphogen screen from @hsiuchuanlin.bsky.social & @jasperjanssens.bsky.social, it correctly predicts emergent cell populations arising from combinatorial morphogen treatment.

Check it out -> cellflow.readthedocs.io

Check out our HNOCA-tools python package, if you are interested in applying some of our analysis methods to your data! github.com/devsystemsla...