My group at Calico is looking for a summer intern. We develop machine learning methods to understand gene regulation—how sequence determines expression, how variants alter function, and what human genetics can tell us about aging.

New work describes our efforts to achieve CRISPR editing of the mitochondrial genome. https://t.co/L98rtFj5Yq The CRISPR toolbox has revolutionized the study of nuclear DNA, but the mitochondrial genome (mtDNA) has remained out of reach, mainly because there are no known ways

Can we predict the spatial effects of single-cell perturbations? Excited to share our preprint introducing SpatialProp, which computationally propagates single-cell transcriptomic perturbations across tissues, along with key frameworks for evaluating spatial perturbation models.

Congrats to @juliaschaepe and @marklundem on the recent publication of their work linking the binding behaviors of TFs in vitro and in vivo! Out in Cell now:

⏰ Deadline Nov 20 (11:59pm MST)! Submit short talk abstracts & scholarship applications for the Keystone Symposium on Aging and share the stage with top researchers in aging, immunity & inflammaging. 📝 https://t.co/XvrgfYVMuJ @BrunetLab #KSAging26 #aging #inflammaging

Exciting neurogenesis meeting in the Swiss Alps!! 'Neurogenesis from development to adulthood in health and disease' To submit an application: asconameeting@unige.ch

Take a look at my article!

Congratulations @EricDSun!! Well deserved!!

Very happy to share the most recent work from the lab!

Excited to share our work with @DMSabatini & @JswLab. How do lysosomes change with age? We present a metabolic atlas of lysosomal aging, and reveal a lysosomal “aging clock” of metabolites linked to lysosomal storage disorders. Grateful to all co-authors! https://t.co/HyP6zq3Ccq

We are excited to share our latest work in @ScienceMagazine studying cooperative behavior in both biological and artificial intelligence systems — fantastic work by @JanineJiang22, Linfan Gu, and wonderful collaboration with @JonathanCKao! https://t.co/nVxe3E3fGA

Today, we report Germinal, a method for efficient de novo antibody design, with @santimillef and @SynBioGaoLab. Germinal achieves success rates of 4-22% across diverse epitopes. We make the work fully open, without doing lame things like posting a preprint without methods. 🧵

Interested in aging and longevity? Very exciting Keystone meeting in March 2026 on immune function, organ health, and aging! (organized with Eric Verdin, Manuel Serrano, and Eline Slagboom) Check it out!! https://t.co/PKR8DchIkZ

Welcome to the age of generative genome design! In 1977, Sanger et al. sequenced the first genome—of phage ΦX174. Today, led by @samuelhking, we report the first AI-generated genomes. Using ΦX174 as a template, we made novel, high-fitness phages with genome language models. 🧵

Exciting meeting in beautiful Ascona, Switzerland!

Can you rejuvenate an old brain by giving it young immune cells? 🧠 My lab @calico put it to the test. In our new study, we replaced the brain's immune cells in old mice with young ones. The result? The old brain environment forced the young cells to age RAPIDLY. A 🧵👇

Our spatiotemporal atlas of brain aging under caloric restriction is out: https://t.co/15iBbqGLuX. Thanks to all authors, reviewers, and the great support from @RockefellerUniv, Brain Research Foundation (@TheBRF), and the Center for Integrated Cellular Analysis (@cegs_ica)!

New exciting work from Jae Ho Lee in our lab, in a fantastic collaboration with Alessandro Ori @AOri_lab and Alessandro Cellerino @Alessan82703458 on why and how the brain ages and becomes vulnerable to neurodegenerative diseases

⚡️Thrilled that #VirtualLab is published in @Nature! https://t.co/BwAsLFAeua We created a team of AI agents to mirror my Stanford lab🤖. Led by a PI agent, the AI scientists ran their own group meetings and discovered effective binders to new CoVID variants that we validated.

I'm excited to share work on a research direction my team has been advancing: connecting machine learning derived genetic variant embeddings to downstream tasks in human genetics. This work was led by the amazing @divyanshi91!