tfw Isabel Esain Peter Hyungjun Yoon teach me + Seyone Chithrananda how to do experiments 🙃

It is finally out! Muntathar Al-Shimary, Doudna Lab, Brady Cress and I present a gene knockdown tool that works in diverse phages: CRISPRi through antisense RNA Targeting (CRISPRi-ART)! Check out the final paper in Nature Microbiology nature.com/articles/s4156…

the IGI wrote a bit about our (in progress) work on building statistical tools for genome mining and discovery! check it out below ⬇️ 🔍

A simple idea to build the UC Berkeley startup alumni network has grown beyond my wildest dreams into #AccelScholars, a tight-knit community of the most ambitious, talented, kind-hearted people, whose individual stories we’ve been fortunate to support for the past eight years

Excited to see Aakarsh and others in Machine Learning at Berkeley continue on the seminar! Join us Monday for a dive into Elana’s work on mech interp for proteins ⬇️

Nucleate Dojo Reunion!

🚀 Fellowship applications are OPEN for Encode: AI for Science. What if you could use AI to - Design shape-shifting robots - See through solid materials - Decode language of the brain - Create advanced materials

We're having another BioML @ Berkeley seminar next Monday 4/7! This time we'll be learning from David Kelley (David Kelley) about Borzoi, a new model that predicts RNA-seq coverage from DNA sequence, enabling a better understanding of gene regulation. lu.ma/yjk0a1us

Really excited for this talk in particular - Viren's work bridges computer vision, neuroscience, visualization tooling and even data infrastructure. Register below and join us tomorrow! 👇

Super excited to be closing out this semester’s Berkeley BioML Seminar on Monday 4/28 with a talk from Tianyu Lu on SHAPES, a framework that addresses key limitations in computational protein design evals, helping us generate more viable structures! lu.ma/j1aby8wq

late post, but heartfelt thanks to Viren Jain for coming through for our second to last BioML @ Berkeley seminar for the semester! standing room only and back to back questions until we called it... I'm thinking we might need a bigger venue 🫥

Today, we are launching the first publicly available AI Scientist, via the FutureHouse Platform. Our AI Scientist agents can perform a wide variety of scientific tasks better than humans. By chaining them together, we've already started to discover new biology really fast. With

Join us this Tuesday (05/20) @ 2:30 PM to hear about functional protein mining from ron boger , a PhD candidate at the @doudna_lab, Berkeley Biophysics

I am pleased to have made the Time magazine 100 most influential people in philanthropy list: time.com/collections/ti…

This is a good mandate letter. Clear directive, focused priorities, and instilling a sense of urgency.

Biology is blessed. owl (in SF june 16th-27th) we're on some kind of mind meld because was literally now going through decks and making this to cheer you up lol

Getting to lead this program from inception to development of degraders and “differentiated discovery stage assets” showed me what an incredible team and powerful platform can do. *Every* part of the platform worked, enabling us to rapidly go from DEL screen to validated binders

In case you needed a smile this Tuesday: 10-month-old baby KJ, who received a bespoke gene-editing therapy after a six month scientific sprint - "graduated" from the hospital today and went HOME! YAY SCIENCE! Here's his story: wapo.st/451ZQjT

The genome editing toolkit has expanded a ton over the past decade - this is great for researchers but tough for anyone trying to grasp the basics of the field. That's why I teamed up with Asimov Press and Dr. Ella Watkins-Dulaney to create a streamlined guide to how all these tools work 👇🏼

In 1965, Margaret Dayhoff published the Atlas of Protein Sequence and Structure, which collated the 65 proteins whose amino acid sequences were then known. Inspired by that Atlas, today we are releasing the Dayhoff Atlas of protein sequence data and protein language models.