Whether you’re performing phylogenomic inferences, identifying structural differences and similarities between proteins, or doing high-throughput time-lapse imaging, we have some free, easily accessible tools and resources that may be helpful for you. 🧵

Check out our latest work at @ArcadiaScience on decomposing a neural network trained on Genotype-Phenotype data into interpretable and familiar quantitative genetics parameters.

How to transform UMAP from a black box into a glass box: by using a special type of deep network, we can now compute exact linear equivalents that reveal which features drive each point's position in the embedding. @ArcadiaScience [1/8]

Free, professional illustrations of research organisms! 🎨🐁🪼🪱 We compiled original vector/raster graphics of 70+ organisms & viruses into a CC0 library. All by @ArcadiaScience’s Audrey Bell Check it out & show us how you use them! https://t.co/2k9erWsyUl #scicomm #sciart

Introducing AutoOpenRaman, an automated, inexpensive microscope for Raman spectroscopy! 🧵 We recapitulated many features of expensive commercial systems using economical hardware and open-source software. @ArcadiaScience https://t.co/5w2y0VULBP [1/8]

Right now is the best chance the scientific community has ever had to end the artificial scarcity of academic journals. Check out my new op-ed urging @NIH @NIHDirector_Jay to disallow taxpayer dollars towards journal publication fees — something both publishers and scientists

we recently did our biggest icebox so far @ArcadiaScience -- we made the call to wind down our first/longest running start-up Trove. read about why & what we learned (and technical resources we released!). Quick 🧵👇

Are you an ML researcher/engineer hoping to learn frontier biology? We’re looking for folks @ArcadiaScience to help build quantitative bio models w us. Our quest: find the MVP bio data required if it’s structured by evolution. Come for a stint to dig in!

Phenotypes often arise from linear + nonlinear genetic relationships. Neural networks should be great at modeling this. Results are mixed. Why? https://t.co/b3M8kF6BUo [1/11]

After many yrs building internally @ArcadiaScience, we're now able to partner more with others on cool organisms. You won't hurt my feelings if you don't read my post, but i will cut you if you don't watch our first organismal spotlight animation -- just skip to the bottom! 🧵

New website who dis

There's been a lot of movement on BioML recently @ArcadiaScience. Over the next couple of days, I'm going to cover our different efforts in defining the limits + potential of using ML to understand biology. First off:

I’m hiring an applied machine learning engineer @ArcadiaScience - pls RT! https://t.co/vUpJyXulnx

📢 Hey #Evol2025 attendees, we’re hiring! If you’re interested in #careers at Arcadia, swing by our free mixer upstairs at The Globe today from 5:30 to 7:30. It’s a 7-minute walk from the Classic Center and drinks are free 🍻 https://t.co/Bsl6hRZtUm

First Arcadia talk at @evol_mtg! #Evol2025 Today — 3 pm — Athena CD @AustinHPatton presents “Graph neural networks: A unifying predictive model architecture for evolutionary applications”

We’re at @evol_mtg! Look for talks from @ryanayork, @GeorgeSandler_, and @AustinHPatton — we’ll post details day-of. We’re also hosting a free careers mixer 🍺 at The Globe tomorrow @ 5:30 pm — join us! #Evol2025

Discovered some unexpected growth phenotypes in Chlamydomonas flagellar mutants! The cpc1-1 strain (with central pair complex defects) shows surprising metabolic traits that might be independent of its flagellar defects. 🧵 https://t.co/2rZBqYzGp0 [1/9]

We’re hiring an *evolutionary cell biologist* @ArcadiaScience! This is a hands-on role designing and executing experiments across the tree of life, developing methods for measuring and interpreting phenotypes, and helping us test our tools in vivo! Apply➡️ https://t.co/GU31uLcbxn

Trying to do science stuff across many orgs has been thrilling. But also, I'm drowning 😱 Looking for an EA... great opportunity for someone who wants to see how the sausage is made and wants to grow into a CoS one day! Please RT

Our team at @ArcadiaScience took a recent preprint on attention mechanisms for genotype–phenotype mapping, validated the results, improved the performance, and turned it into shareable research in just 9 days. 1/6 🧵 https://t.co/5nnvCOWtQ0

Not only do we do cool science but we have a badass illustrator for our pubs