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Peter Koo

@pkoo562.bsky.social
3.2K followers 1.3K following 130 posts

AI4Science researcher. Associate Professor @CSHL. My lab advances AI for genomics and healthcare! koo-lab.github.io

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Peter Koo @pkoo562.bsky.social · 19/05/2026
Hello Bluesky! Virtual registration is open for the 90th CSHL Symposium: AI in Biology! Amazing lineup of speakers! Join live on Zoom w/ Q&A, and access recordings on demand for ~48 hrs after each talk, with archive access pending speaker approval. meetings.cshl.edu/virtualregis... #cshlsymp26
meetings.cshl.edu
CSHL Virtual Meetings Registration Form
Cold Spring Harbor Laboratory Meetings & Courses -- a private, non-profit institution with research programs in cancer, neuroscience, plant biology, genomics, bioinformatics.
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Peter Koo @pkoo562.bsky.social · 04/01/2026
Save the date: The premier AI x Bio meeting of 2026 will be held at CSHL on May 26-31! The program brings together 50+ invited leaders in genomics, transcriptomics, protein design, drug discovery, neuro-AI, pathology, agentic AI, and more! Abstract due: March 26 meetings.cshl.edu/meetings.asp...
meetings.cshl.edu
90th Symposium: AI in Biology
Cold Spring Harbor Laboratory Meetings & Courses -- a private, non-profit institution with research programs in cancer, neuroscience, plant biology, genomics, bioinformatics.
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Nature Reviews Genetics @natrevgenet.nature.com · 03/11/2025
New online! Decoding the regulatory genome with large-scale deep learning
nature.com
Decoding the regulatory genome with large-scale deep learning
Nature Reviews Genetics, Published online: 03 November 2025; doi:10.1038/s41576-025-00914-2In this Journal Club, Peter Koo reflects on the 2021 publication of Enformer and its impact on the use of deep learning for modelling the regulatory genome.
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Peter Koo @pkoo562.bsky.social · 08/11/2025
Beware of LLM blindspots. #AI4Science
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Sina Majidian @sinamajidian.bsky.social · 07/11/2025
Yijie Kang (CSHL, Stony Brook) from @pkoo562.bsky.social Lab presented "Decoding the sequence basis of Pol II elongation with deep learning"
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Peter Koo @pkoo562.bsky.social · 07/11/2025
Exciting symposium on AI and Biology at EMBO | EMBL in Heidelberg on 10-13 March 2026! Excellent lineup of invited speakers across various scales of biology! Deadline for abstract submission is coming up — Dec 2. 🔗 www.embl.org/about/info/c... #EESAIBio @EMBLEvents
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Peter Koo @pkoo562.bsky.social · 09/10/2025
Which mutations rewire function of regulatory DNA? Excited to share SEAM: Systematic Explanation of Attribtuion-based Mechanisms. SEAM is an explainable AI method that dissects cis-regulatory mechanisms learned by seq2fun genomic deep learning models. Led by @EESetiz 1/N 🧵👇
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Peter Koo @pkoo562.bsky.social · 07/10/2025
Congratulations to John Clarke, Michel Devoret and John Martinis on receiving the 2025 Nobel Prize in Physics! www.nobelprize.org/prizes/physi... I have fond memories of my time in the Clarke lab, where I did my Honors Thesis on ultra low-field MRI w/ SQUIDs as an undergrad at UC Berkeley!
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Peter Koo @pkoo562.bsky.social · 19/09/2025
Check out a Research Highlights on our work at @naturemethods by Lin Tang! www.nature.com/articles/s41...
nature.com
Benchmarking genomic language models - Nature Methods
Nature Methods - Benchmarking genomic language models
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Peter Koo @pkoo562.bsky.social · 11/09/2025
Richard Bonneau giving the last keynote on navigating the complexity of drug discovery and their lab-in-the-loop for molecule design! #MLCB
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Peter Koo @pkoo562.bsky.social · 11/09/2025
2025 MLCB day 2 is starting now! Streaming live now! m.youtube.com/watch?v=PxlXNb…
m.youtube.com
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Peter Koo @pkoo562.bsky.social · 10/09/2025
Some technical delays but we are all set! First talk by Alexis Battle! @alexisbattle.bsky.social
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Peter Koo @pkoo562.bsky.social · 10/09/2025
2025 Machine Learning in Computational Biology (#MLCB) meeting starts TODAY (9/10) at 9:30a (EST) at the NY Genome Center in NYC! We have a great lineup of keynotes, contributed talks, and posters today and tomorrow Schedule: mlcb.org/schedule Join for free via livestream: m.youtube.com/@mlcbconf
mlcb.org
MLCB - Schedule
The in-person component will be held at the New York Genome Center, 101 6th Ave, New York, NY 10013. All times below are Eastern Time.
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Peter Koo @pkoo562.bsky.social · 16/07/2025
*Easter egg alert* NOT in the published paper. We also benchmarked Evo 2 and while it did better than other gLMs (consistent that scale can improve gLMs), it still falls short of a basic CNN trained using one-hot sequences and far short of supervised SOTA
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Peter Koo @pkoo562.bsky.social · 16/07/2025
Our work on "Evaluating the representational power of pre-trained DNA language models for regulatory genomics" led by @AmberZqt with help from @NiraliSomia & @stevenyuyy is finally published in Genome Biology! Check it out! genomebiology.biomedcentral.com/articles/10....
genomebiology.biomedcentral.com
Evaluating the representational power of pre-trained DNA language models for regulatory genomics - Genome Biology
Background The emergence of genomic language models (gLMs) offers an unsupervised approach to learning a wide diversity of cis-regulatory patterns in the non-coding genome without requiring labels of ...
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Anshul Kundaje @anshulkundaje.bsky.social · 28/06/2025
One thing that really bothers me with the new "virtual cell" terminology is that it is currently largely focused on a very narrow definition of models that can predict effects of trans perturbations (gene dosage, drugs etc) on gene expression. 1/
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Žiga Avsec @avsecz.bsky.social · 25/06/2025
Excited to launch our AlphaGenome API goo.gle/3ZPUeFX along with the preprint goo.gle/45AkUyc describing and evaluating our latest DNA sequence model powering the API. Looking forward to seeing how scientists use it! @googledeepmind
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Anshul Kundaje @anshulkundaje.bsky.social · 25/06/2025
This a really exciting leap forward for genomic sequence to activity gene regulation models. It is a genuine improvement over pretty much all SOTA models spanning a wide range of regulatory, transcriptional and post-transcriptional processes. 1/
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Peter Koo @pkoo562.bsky.social · 25/06/2025
Congrats @avsecz.bsky.social! Looking forward to exploring what it has learned! 🧬
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Isabelle Zane @isabellease.bsky.social · 23/06/2025
@pkoo562.bsky.social Peter Koo at #AIxBio
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Christian Dallago @machine.learning.bio · 15/06/2025
With contributions from fantastic colleagues @martinsteinegger.bsky.social , @mikeinouye.bsky.social, @jlistgarten.bsky.social , @ideasbyjin.bsky.social, @michael-heinzinger.bsky.social, and many more, the first CSHL volume on ML for Protein Science and Engineering is out: lnkd.in/dQdgGPpp
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Peter Koo @pkoo562.bsky.social · 02/06/2025
The #MLCB deadline has been extended to June 3 (AOE)! Still time to submit your cutting-edge work on machine learning in biology. Don’t miss out! 👉 www.mlcb.org #ComputationalBiology #ML4Bio
mlcb.org
MLCB
The 20th Machine Learning in Computational Biology (MLCB) meeting will be a two-day hybrid conference, September 10-11, 9am-5pm ET, with the in-person component at the New York Genome Center, NYC. Reg...
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Peter Koo @pkoo562.bsky.social · 28/05/2025
Building virtual cells is a great goal in the age of AI, but it requires far more than training transformers with scRNAseq. *Scaling* as the primary strategy with hopes of emergent properties is lazy. Will the plan to fuse representations across mediocre (unimodal) foundation models work?!
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Anshul Kundaje @anshulkundaje.bsky.social · 26/05/2025
Awesome paper. Simple post-hoc trick (averaging over homologs) with elegant evolution theory dramatically improves zero shot coding variant effect prediction in pLMs & actually delivers better results from the larger models (inverting the trend with raw likelihoods). 1/
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Peter Koo @pkoo562.bsky.social · 23/05/2025
Excited to share an update to D3 (DNA Discrete Diffusion) — an application of score-entropy discrete diffusion model for regulatory genomics! 🧬 Paper: biorxiv.org/content/10.110… (See thread below 👇) (1/n)
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Anshul Kundaje @anshulkundaje.bsky.social · 23/05/2025
My sympathy and support for all the international students and postdocs at Harvard. I can only imagine how scary this must feel. Stay strong. And if there's anything I can do to help those in compbio, please reach out. All of us need to rally to help them out. 1/
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Peter Koo @pkoo562.bsky.social · 16/05/2025
The premier conference on Machine Learning for Computational Biology is Sep 9-10 at the NY Genome Center in NYC! Submission deadline is June 1 for 2-page abstracts and 8-page papers (eligible for proceedings track). Registration is now open! (Link below) Please retweet!
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David A Knowles @davidaknowles.bsky.social · 15/05/2025
Free in-person registration is open for #MLCB2025! Sept 10-11 at @nygenome.org and online at youtube.com/@mlcbconf. Paper/abstract deadline is June 1, more deets including our fantastic invited speaker lineup at mlcb.org! Please RP.
youtube.com
Machine Learning in Computational Biology
Youtube channel for the Machine Learning in Computational Biology conference: https://mlcb.github.io/
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Peter Koo @pkoo562.bsky.social · 14/05/2025
As #NeurIPS2025 submission deadline approaches, I’m expecting lots of posts of papers that be like…
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Peter Koo @pkoo562.bsky.social · 26/04/2025
At @iclr_conf and interested in AI x Bio? Come see new work by the Koo Lab! 1. Oral presentation at @gembioworkshop by Evan Seitz (@EESeitz) on Decoding the mechanistic impact of genetic variation on regulatory sequences with deep learning! openreview.net/forum?id=Ptj...
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Kalin Nonchev @nonchev.bsky.social · 24/02/2025
How can we predict spatial transcriptomics from histology images to enable simple, affordable, and reliable analysis of spatially resolved gene expression in routine clinical use? 🤔 Introducing DeepSpot – a deep learning model designed to tackle this! 🧵👇 www.medrxiv.org/content/10.1...
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Peter Koo @pkoo562.bsky.social · 23/02/2025
Evaluations are easy when you don't test ML models under distributional shifts... (we desperately need collaboration with wet-lab biologist to generate data under varying levels of covariate shift to better evaluate generalization capabilities of genomics AI models!)
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Peter Koo @pkoo562.bsky.social · 12/02/2025
Proud of Jakub Kaczmarzyk, 3rd grad student (MD/PhD) to join my lab, who is defending today! Jakub has been instrumental in shaping my lab’s culture and he’s done great science along the way — developing tools to explain histopathology foundation models. Thanks for everything!
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Etowah Adams @etowah0.bsky.social · 10/02/2025
Can we learn protein biology from a language model? In new work led by @liambai.bsky.social and me, we explore how sparse autoencoders can help us understand biology—going from mechanistic interpretability to mechanistic biology.
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Jacob Schreiber @jmschreiber91.bsky.social · 05/02/2025
MLCB is an excellent conference and a great opportunity to meet other people in the field. Highly recommend attending!
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Anna G. Green @annaggreen.bsky.social · 05/02/2025
Excited for this meeting!
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Teif lab @teiflab.bsky.social · 05/02/2025
bsky.app/profile/pkoo...
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Peter Koo @pkoo562.bsky.social · 05/02/2025
[SAVE THE DATE] MLCB 2025 is happening Sept 10-11 at the NY Genome Center in NYC! Attend the premier conference at the intersection of ML & Bio, share your research and make lasting connections! Submission deadline: June 1 More details: mlcb.github.io Help spread the word—please RT! #MLCB2025
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Nadav Ahituv @nadavahituv.bsky.social · 04/02/2025
Tumors need a lot of nutrients to grow. By engineering and implanting fat cells to outcompete cancers for nutrients we can suppress them. Novel cancer therapy called Adipose Manipulation Transplantation (AMT). AMAZING work led by and dedicated to Hai Nguyen. www.nature.com/articles/s41...
nature.com
Implantation of engineered adipocytes suppresses tumor progression in cancer models - Nature Biotechnology
Adipose manipulation transplantation can reduce tumor growth and proliferation in vitro and in mouse models.
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Nadav Ahituv @nadavahituv.bsky.social · 15/01/2025
Massively parallel reporter assays (MPRAs) testing >680,000 sequences combined with machine learning to improve regulatory element & variant effect prediction. Amazing work by @vagar.bsky.social, Fumitaka Inoue, @jshendure.bsky.social and many others as part of ENCODE. www.nature.com/articles/s41...
nature.com
Massively parallel characterization of transcriptional regulatory elements - Nature
Lentivirus-based reporter assays for 680,000 regulatory sequences from three cell lines coupled to machine-learning models lead to insights into the grammar of cis-regulatory elements.
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Anshul Kundaje @anshulkundaje.bsky.social · 13/01/2025
@anusri.bsky.social first author & developer of ChromBPNet is looking for opportunities in industry in ML for bio/genomics. She is an excellent rigorous scientist (as u can see from the paper). Very strongly recommend her. Plz reach out to her if u have openings. Plz forward.
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Mike White @genologos.bsky.social · 07/01/2025
Deep learning with data beyond the genome: Our paper on active machine learning to model regulatory DNA is out today in Cell Systems. With functional assays and DNA synthesis you can generate any training examples, not just genomic sequences. 🧵 kwnsfk27.r.eu-west-1.awstrack.me/L0/https:%2F...
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Travis Wheeler @wheelerlab.org · 26/12/2024
You probably already know, but: @pkoo562.bsky.social is awesome. DM him.
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Anshul Kundaje @anshulkundaje.bsky.social · 25/12/2024
Our ChromBPNet preprint out! www.biorxiv.org/content/10.1... Huge congrats to Anusri! This was quite a slog (for both of us) but we r very proud of this one! It is a long read but worth it IMHO. Methods r in the supp. materials. Bluetorial coming soon below 1/
biorxiv.org
ChromBPNet: bias factorized, base-resolution deep learning models of chromatin accessibility reveal cis-regulatory sequence syntax, transcription factor footprints and regulatory variants
Despite extensive mapping of cis-regulatory elements (cREs) across cellular contexts with chromatin accessibility assays, the sequence syntax and genetic variants that regulate transcription factor (T...
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Alireza Karbalayghareh @karbalayghareh.bsky.social · 23/12/2024
Great positions! Go work with Peter, he is excellent!
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Peter Koo @pkoo562.bsky.social · 23/12/2024
I'm hiring: 1. Research associate (wet-lab w/ phd) to generate mpra perturbation data 2. ML postdoc to build multimodal generative AI for DNA (eg diffusion and LLMs) 3. Bioinformatician (any level) to process and harmonize functional genomics data to train foundation models DM me if interested!
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Alan Murphy @al-murphy.bsky.social · 20/12/2024
In a big life update, I successfully defended my PhD thesis - massive thanks to my PI Nathan and assessors @steinaerts.bsky.social @proftomellis.bsky.social . Thrilled to share that I will be joining @pkoo562.bsky.social at CSHL in the new year for a post-doc improving genomic deep learning models!
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Peter Koo @pkoo562.bsky.social · 20/12/2024
Congrats (again)! Looking forward to working with you!
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Peter Koo @pkoo562.bsky.social · 17/12/2024
🚨 We’re hiring! 🚨 The Simons Center for Quantitative Biology at Cold Spring Harbor Laboratory is looking for a Research Technician to join our team. If you’re passionate about genomics, AI, and experimental science, we want to hear from you. Help us spread the word! jobrxiv.org/job/cold-spr...
jobrxiv.org
Research Technician - Cold Spring Harbor Laboratory
Post a job in 3min, or find thousands of job offers like this one at jobRxiv!
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phil-fradkin.bsky.social @phil-fradkin.bsky.social · 15/12/2024
Excited to be presenting Orthrus with Ruain Shi and Keren Isaev @karini925.bsky.social today! We will be presenting our spotlight at the workshop on AI for new drug modalities #NeurIPS2024 Come chat about a new approach to mRNA representation learning!
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