I am thrilled to share that UC Berkeley and UCSF have launched a joint initiative in Computational Biomedicine! cdss.berkeley.edu/news/uc-berk... We will soon be recruiting new faculty and postdoctoral fellows. Please repost to help spread the word.
Профиль
Yun S. Song
Профиль VivelyProfessor of EECS and Statistics at UC Berkeley. Mathematical and computational biologist.
Please check out our forthcoming ICML paper on learning the BCR affinity maturation process, with applications in variant effect prediction and antibody design.
Stephen LuAntibody LMs learn what looks antibody-like, but not how selection turns naive germline antibodies into strong binders. @aakarshv1.bsky.social and I are excited to share CoSiNE, a model that learns this germline-to-mature process for variant effect prediction and antibody design. (1/8)
Can we simulate realistic evolutionary trajectories and “replay the tape of life”? In this work, we propose a flexible, generalizable deep learning framework for modeling how the entire protein sequence evolves over time while capturing complex interactions across sites. 1/n doi.org/10.64898/202...
doi.orgPublished online on Jan 2, 2025 and just appeared in the December 2025 issue!
Nature BiotechnologyA language model predicts the effects of genetic variants in the human genome go.nature.com/4gWppWg rdcu.be/eUK6Z
An open-rank faculty search in AI + Engineering (Bioengineering included) at UC Berkeley. Due date: Monday, Nov 3, 2025 at 11:59pm (PT) Please help spread the news. aprecruit.berkeley.edu/JPF05144
We are excited to share GPN-Star, a cost-effective, biologically grounded genomic language modeling framework that achieves state-of-the-art performance across a wide range of variant effect prediction tasks relevant to human genetics. www.biorxiv.org/content/10.1... (1/n)
SINGER, our ARG inference method, is finally published and freely available online: doi.org/10.1038/s415... It was a long journey – 16 months from initial submission to acceptance. Is it just me, or has peer review gotten more arduous lately? 4+ rounds of review isn't so unusual these days...
Antibodies are highly diverse, but most possible sequences are unstable or polyreactive. In this work, just published in Cell Syst., we propose a new source of data for modeling constraints from these properties. Our models show clear improvements in predicting Ab dysfunction. (1/n) t.co/qCZERPUMPF
https://authors.elsevier.com/a/1lbX08YyDfuZWXt.coThe 2026 Probabilistic Modeling in Genomics (ProbGen) meeting will be held at UC Berkeley, March 25-28, 2026. We have an amazing list of keynote speakers and session chairs: probgen2026.github.io Please help spread the news.
Home - ProbGen 2026Your Site Descriptionprobgen2026.github.io