Yun S. Song

@yun-s-song.bsky.social

Professor of EECS and Statistics at UC Berkeley. Mathematical and computational biologist.

@yun-s-song.bsky.social

This is a broad, open-area search in AI for Biology. We are seeking candidates who develop innovative AI and machine learning (ML) methods that significantly advance our understanding of complex biological systems and address high-impact problems in biology.

@yun-s-song.bsky.social

This is a joint search between the Department of Electrical Engineering & Computer Sciences (EECS) and the Center for Computational Biology (CCB). We encourage applicants with ambitious research programs at the interface of AI, computing, and biology to apply.

@yun-s-song.bsky.social

We welcome outstanding candidates from AI/ML, computer science, statistics, mathematics, and related quantitative fields who are excited to develop innovative computational methods and apply them to important problems in biology and medicine. (n/n)

@yun-s-song.bsky.social

BCBI offers a distinctive model for postdoctoral research that fosters scientific independence, interdisciplinary collaboration, and close engagement with important problems in biology and medicine. (2/n)

@yun-s-song.bsky.social

Precomputed GPN-Star predictions for all possible single-nucleotide variants in the human genome and five model organisms (Mus musculus, Gallus gallus, Drosophila melanogaster, Caenorhabditis elegans, and Arabidopsis thaliana) are available on Hugging Face: doi.org/10.57967/hf/...
(3/n)

@yun-s-song.bsky.social

The published version has a new title, “Predicting genome-wide functional constraints with GPN-Star,” and, more importantly, includes a substantial number of new results not present in the original preprint, with 16 additional figures. (2/n)

@yun-s-song.bsky.social

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.

cdss.berkeley.eduUC Berkeley and UCSF Launch Computational Biomedicine InitiativeUC Berkeley and UCSF have launched a joint program called the Bakar Computational Biomedicine Initiative to develop the frontier of AI and biomedicine, tremendously accelerating advances in clinical c...
@yun-s-song.bsky.social

How can one efficiently simulate phylodynamics for populations with billions of individuals, as is typical in many applications, e.g., viral evolution and cancer genomics? In this work with M. Celentano, @wsdewitt.github.io , & S. Prillo, we provide a solution. doi.org/10.1073/pnas...
1/n

William DeWitt@wsdewitt.github.io

Recasting the perils of phylodynamic non-identifiability as a feature not a bug, we show that a unique forward-equivalent process enables exact and efficient simulation from arbitrarily large populations. With M Celentano, S Prillo, @yun-s-song.bsky.social www.pnas.org/doi/10.1073/pnas.2412978122

A full lineage tree and it's corresponding ascertained treeTree conditioned on survival is equal in law to an unconditioned tree with modified parameters