We 'll be hiring very actively at Berkeley! Assistant/ Associate/ Full Professor – Electrical Engineering & Computer Sciences (Deadline: Dec. 7, 2026 at 11:59 pm Pacific Time). Apply here: aprecruit.berkeley.edu/JPF05… Assistant Professor – AI for Biology – Electrical Engineering & Computer Sciences and Center for Computational Biology (Deadline: Nov. 9, 2026 at 11:59 pm Pacific Time) Apply here: aprecruit.berkeley.edu/JPF05… Assistant Professor – Intersection of Statistics and CS – Departments of Electrical Engineering & Computer Sciences and Statistics (Deadline: Nov. 10, 2026 at 11:59 pm Pacific Time). Apply here: aprecruit.berkeley.edu/JPF05… Assistant/ Associate/ Full Professor – Computational Biomedicine - Center for Computational Biology (Deadline: Nov. 18 2026 at 11:59 pm Pacific Time). Apply here: aprecruit.berkeley.edu/JPF05… Assistant / Associate Professor – Electronic, Functional, and Quantum Materials – Electrical Engineering & Computer Sciences and Materials Science & Engineering (Deadline: Dec. 7, 2026 at 11:59 pm Pacific Time). Apply here: aprecruit.berkeley.edu/JPF05… Coming Soon! Assistant/ Associate/ Full Professor - AI and the Physical Sciences -Bakar Institute of Digital Materials for the Planet (BIDMaP) and home department(s) to be determined. (Deadline: Dec. 7, 2026 at 11:59 pm Pacific Time) Apply here: aprecruit.berkeley.edu/JPF05… Coming Soon! Assistant/ Associate/ Full Professor-in-Residence - Gladstone Institute of Data Science and Biotechnology and home department(s) to be (Deadline: TBD at 11:59 pm Pacific Time) Apply here: aprecruit.berkeley.edu/JPF05…

All THREE of our Cal AI+Bio jobs here: 1. Tenured/tenure-track faculty in CCB, due Nov 18th: aprecruit.berkeley.edu/JPF05…. 2. Tenure-track faculty in EECS+CCB, due Nov 9th: aprecruit.berkeley.edu/JPF05… 3. A new,flexible postdoctoral program, due November 1st: berkeley.infoready4.com/#fre…

Please help spread the word! We are recruiting multiple Postdoctoral Fellows as part of the recently launched Bakar Computational Biomedicine Initiative (BCBI) at UC Berkeley and UCSF. BCBI website: bcbi.berkeley.edu/ Apply by Nov 1, 2026: berkeley.infoready4.com/#fre… (1/n)

We are excited to announce a new faculty position in AI for Biology at UC Berkeley, jointly between @Berkeley_EECS and @CCBBerkeley. Please repost & share this opportunity with outstanding early-career researchers in your networks. Apply by Nov 9, 2026: aprecruit.berkeley.edu/JPF05…

ProteinGuide is finally officially out. Congrats to the amazing team of @junhaobearxiong, @Ishan__Gaur, @MariaLukarska, and Hunter Nisonoff, in our continued great collaboration with @SavageCatsOnly.

I’m happy to share our pre-print exploring the activity and specificity trade-offs in adenine base editors. Thanks to my amazing co-authors @loltrogge, Hunter Nisonoff and all the other contributors @CynthiaTerrace @jlistgarten @dfsavage @SavageCatsOnly biorxiv.org/content/10.64898… 🧵

Our new ICLR paper on leveraging “soft decomposability” of design spaces (eg protein sequence) wrt a target property (eg enzymatic activity) in order to more efficiently search through the design space. Active site vs. scaffold, for eg. @jamesbowden_ joint with @svlevine

Our new paper on leveraging ML to characterize the fitness landscape of two proteins binding through evolution, wrt geometry, epistasis, etc. The super hard work of Hanlun Jiang, Stephan Allenspach and @jamesbowden_ on our end. science.org/doi/10.1126/scie…

Really enjoyed working with @junhaobearxiong and @MariaLukarska on the new preprint. We unify guidance for discrete generative models, giving a suite of sampling options that can be used for different problems! @MariaLukarska also killed it with the new wet lab data!

Did you know that MLMs/order-agnostic AR models can be viewed as diffusion/FM, enabling correct plug-and-play guidance on your favorite pre-trained models such as ProteinMPNN/ESM3, to incorporate experimental data or model-based priors? Includes experimental base editor demo.

@HNisonoff and @junhaobearxiong are at ICLR presenting their poster on how to correctly do guidance for diffusion and FM in discrete state spaces, such as for protein engineering (joint w Stephan Allenspach). Go chat with them! iclr.cc/virtual/2025/poster/…

Brian's 5th year MSc work is finally out, showing how to get better bang for the buck training a nanopore caller with limited data: royalsocietypublishing.org/d…

Diffusion/flow models on discrete spaces would like guidance too. Learn how to discretely guide your model from the fabulous triplet team of co-authors @HNisonoff , @junhaobearxiong, and Stephan Allenspach! arxiv.org/abs/2406.01572

Registration is now open for our 5-day Simons workshop taking place in two months (June 10th-14th) in Berkeley (w @ask1729 ). AI≡Science: Strengthening the Bond Between the Sciences and Artificial Intelligence simons.berkeley.edu/workshop…

Our primer "Generative models for protein structures and sequences" is now live nature.com/articles/s41587-0… @chloehsu0 @seafann (free version: nature.com/articles/s41587-0…)