Thank you... Very proud of this excellent team and their creative work over many years! A multifaceted study exploring the global and causal brainwide dynamics of resolving needs into goals, led by Ethan Richman with Nicole Ticea, William Allen and Liqun Luo: news.stanford.edu/2023/11/08/mic…

Congratulations to AHA member Gili Kliger (Harvard Univ.), whose September 2022 American Historical Review article, “Translating God on the Borders of Sovereignty,” has been awarded the Western History Association 2023 Arrington-Prucha Prize. westernhistory.org/awards/arringt…

Amazing day for my first tweet. Super excited to share my PhD research, published today nature. We find that contrary to popular belief, cortical reactivations predict the future rather than reflect the past. nature.com/articles/s4158… 1/10

nature.com/articles/s4158… We go as far as our students and postdocs can take us- after Lisa showed on Monday how olfactory neurons activate specific OR repertoires, Ariel shows here why the end up expressing only one of those! Blessed to have them!

Excited to announce that I officially started my predictive biology lab of single cell/spatial genomics at Stanford! Read more about our research here: devo-evo.com/research Hiring at all levels (dry & wet). Stanford grad & undergrads are highly encouraged to work with us

Just shared at Keystone Symposia a new @ArcInstitute discovery of the bridge RNA recombinase mechanism: a new class of natural RNA-guided systems that retains the key property of programmability from RNAi and CRISPR while enabling large-scale genome design beyond RNA and DNA cuts

Is DNA all you need? In new work, we report Evo, a genomic foundation model that learns across the fundamental languages of biology: DNA, RNA, and proteins. Evo is capable of both prediction tasks and generative design, from molecular to whole genome scale.

Is DNA all you need? Introducing Evo, a long context 7B foundation model for biology Evo has SOTA *zero-shot* prediction across DNA, RNA, and protein modalities Evo can generate DNA, RNA+proteins & make CRISPR-Cas systems for first time blog …n-model-tool-arc-institute.vercel.app/news/blog/evo

Very happy to have started my lab at Stanford Dev Bio @ Stanford earlier this month. We will be studying mammalian embryo development, plasticity and resilience. Check out our new website for more details: bowlinglab.org

Thanks as well to the Wu Tsai Institute (Wu Tsai Neurosciences Institute) and Knight Initiative for Brain Resilience (Stanford Knight Initiative for Brain Resilience)!

Excited to share Elias Scheer's thesis work from my lab, in a paper that explores how animal decision-making is coupled to behavioral state changes over minute-long and second-long timescales. elifesciences.org/reviewed-prepr…

So immensely proud to see my PhD work out today in nature! Combining neuroscience and ethology to an unprecedented degree in primates, we uncover neural signatures of social support and grooming reciprocity—building blocks of relationships. shorturl.at/jvHSY 🧵👇

We are thrilled to officially announce that the Pishesha Lab of Immune Engineering (pisheshalab.com) at the Division of Immunology @bostonchildrens Harvard Medical School is finally set up and ready to go!

I am thrilled to be joining Chan Zuckerberg Initiative and leading our AI strategy to determine how we utilize one of the world’s largest computing systems dedicated to nonprofit AI for life science research. We are assembling a world class research team for generative AI x Science to build large

Why can RNA only be linear or circular? It can be branched! We made multi-tailed mRNA, and we had fun! Here is our story led by brilliant graduate student Hongyu Chen: rdcu.be/dB7ck and his cartoon illustration👇MIT Chemistry Broad Institute

I will start my group in NYU Center for Neural Science in January 2025 to study how the brain tracks and predicts physiological needs using intracellular signals. Please keep an eye out for updates!