Rejji Kuruvilla

@rkuruvi1.bsky.social

Neurobiologist, Professor, fond of reading, cats, thrillers, and food

New preprint alert from the Watanabe lab!! Have you wondered what microglia are surveying with their motile processes? Have you wondered what happens to proteolytic organelles that are stuck in axons? Check this out! Microglia are the garbage man! www.biorxiv.org/content/10.6...

Microglia extract neuronal proteolytic organelles via skoupocytosis

Neurons face unique challenges in maintaining protein homeostasis due to their tortuous morphology and extended processes. Proteolytic organelles are typically transported retrogradely towards their s...

biorxiv.org

On my way home after a memorable Cell Biology of the Neuron GRC and some sightseeing. It was an honor to chair the meeting with Gipi Schiavo, soak in some amazing science, catch up with friends and colleagues and make new connections.

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Today I was reminded again of challenges for women in professional settings. In a meeting, a male colleague alone was acknowledged for work that we both perform. The few women in the room immediately noticed and exchanged glances. I wish for a time when everyone would notice (and speak up).

It’s brutal in academia right now. A lot is out of our control, but it doesn’t cost anything to remember that there are humans behind papers and grants…reviewers, program officials and funders can be more empathetic in the face of unprecedented chaos in the US scientific enterprise.

It is impossible to avoid the realization of where we are as a country today, no matter how much we’d like to bury our heads in the sand and pretend that the violence is not directly impacting our lives. Until it does.

before I started my lab, I asked several senior PIs what their one piece of advice would be and PI pointedly said: “Know when to drop a project.” And that advice has been invaluable in my lab. There are always other projects to follow up on, dropping one isn’t a failure in and of itself.

Arjun Raj@arjunraj.bsky.social · 9mo ago

Blog post: Just quit Quitting projects in science is hard, but we should be doing a lot more of it. open.substack.com/pub/arjunraj...

An essential development over the past decade-plus is that the ignorant went from feeling chastened when their ignorance was revealed to banding together and deciding that, actually, they were right. They might disagree at times, but they agreed that ignorance itself was an indicator of trust.

What a year! But grateful for the good things in life, which includes good people in my life, work that is fulfilling, warmth of a fireplace, some downtime over the holidays, waking up without an alarm, and furry companions.

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PSA: "calm down" is not a productive way to start a discussion, esp with people who have been traumatized by chaos and bad faith actions in a system they must keep navigating. information good, condescension not so much

I agree what matters is how funding priorities are set, and by whom. Institute directors must be hired based on expertise/ experience, not partisan politics, or funding priorities AND DECISIONS will reflect ideology. The system already allows this, but one can read intention into making this easier

Drug Monkey@drugmonkey.bsky.social · 10mo ago

In which I fruitlessly beg NIH grant-seeking folks to focus on what is actually important. drugmonkey.wordpress.com/2025/11/21/i...

And I’m a big fan of Turing, von Neumann, Shannon, Metcalfe, Hinton, Sejnowski, and all the other algorithmic and computation people. No shade. But data limits still limit understanding of the brain. That’s why the #NIH US BRAIN Init was so important: public investment made new tools.

Same for neuroscience. The lack of ability to measure many neurons’ activity, perturb them, and measure intracellular processes and connections is what limits understanding the brain. The key barriers are not algorithms or AI. 🧪#neuroscience 🧠🤖 #MLSky

Anshul Kundaje @anshulkundaje
Francois usually has good takes. But this suggests a bit of cluelessness about what the key barrier to progress in biology is. It's not algorithms or Al. It's still a lack of the ability to measure many important things in cells ie. assay techdev. Perturb-seq is not all u need.
@ François Chollet & @fchollet • 2d
The most powerful scientific instrument of the 21st century isn't the electron microscope or the particle collider. It's the algorithm.
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