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Su-In Lee

@suinlee.bsky.social

Boeing Endowed Professor in the Allen School of Computer Science & Engineering at the University of Washington. Interested in AI/ML, computational biology, and AI in medicine. https://suinlee.cs.washington.edu/

49 Posts3265 Follower230 Folgt
Su-In Lee@suinlee.bsky.social · 2w ago

Grateful to be working with Maria Brbić, Peter Koo @pkoo562.bsky.social, and Bianca Dumitrascu @bimidu.bsky.social on this exciting NeurIPS workshop, together with our incredible student organizers: Siba Smarak Panigrahi, Masayuki Nagai, Özgür Yılmaz Beker, and Soham Gadgil @sohamgadgil.bsky.social.

ICBINB-BIO@icbinbbio.bsky.social · 2w ago

🧬 We’re excited to announce the NeurIPS 2026 workshop, I Can’t Believe It’s Not Better: Failure Modes of AI in Biology (ICBINB-BIO), to be held in Sydney, Australia, on Dec. 11 or 12, 2026! 📣 We welcome full and tiny papers sharing challenges in developing AI models for biological tasks. (1/n)

ICBINB-BIO@icbinbbio.bsky.social · 2w ago

🧬 We’re excited to announce the NeurIPS 2026 workshop, I Can’t Believe It’s Not Better: Failure Modes of AI in Biology (ICBINB-BIO), to be held in Sydney, Australia, on Dec. 11 or 12, 2026! 📣 We welcome full and tiny papers sharing challenges in developing AI models for biological tasks. (1/n)

UW News@uwnews.uw.edu · 10mo ago

@uwcse.bsky.social researchers @suinlee.bsky.social, @chanwoo-kim.bsky.social & @sohamgadgil.bsky.social argue that a key standard for deploying medical #AI is transparency — that is, using various methods to clarify how a medical AI system arrives at its diagnoses and outputs.

Q&A: Transparency in medical AI systems is vital, UW researchers say

In a recent paper, University of Washington researchers argue that a key standard for deploying medical AI is transparency — that is, using various methods to clarify how a medical AI system arrives...

washington.edu

Allen School@uwcse.bsky.social · 11mo ago

Medical #AI errors “can directly impact people’s health and even determine life-altering outcomes.” In @natrevbioeng.nature.com, @chanwoo-kim.bsky.social @sohamgadgil.bsky.social & @suinlee.bsky.social discuss the importance of transparency in medical models. www.washington.edu/news/2025/09...

Q&A: Transparency in medical AI systems is vital, UW researchers say

In a recent paper, University of Washington researchers argue that a key standard for deploying medical AI is transparency — that is, using various methods to clarify how a medical AI system arrives.....

washington.edu

euanashley@euanashley.bsky.social · last yr.

Atul Butte died yesterday. The world lost a giant. A big bear of a man. With a huge smile. With love for everyone. With energy that could power a room. I loved everything about Atul. I loved how he was always happy. I loved how excited he was about science and helping people.

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oZgun Gokce@gokcegroup.bsky.social · last yr.

Atul Butte’s talk introduced me to systems biology—I was presynapse scientist and opened my horizon to "biomedical moments, thawing frozen discoveries in data". Ideas that changed my career. Thank you for the science, the spirit, and the inspiration. You will be remembered.

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Sushmita Roy@sroyyors.bsky.social · last yr.

Wow, this paper on interpreting ML models by @suinlee.bsky.social and Scott Lundberg came out in 2017 and has 34k citations! Congratulations @suinlee.bsky.social and your team, what an achievement :-). arxiv.org/abs/1705.07874

A Unified Approach to Interpreting Model Predictions

Understanding why a model makes a certain prediction can be as crucial as the prediction's accuracy in many applications. However, the highest accuracy for large modern datasets is often achieved by c...

arxiv.org

Allen School@uwcse.bsky.social · last yr.

#UWAllen's @suinlee.bsky.social was recently elected a Fellow of the @iscb.bsky.social for her work on #AI techniques to provide new insights into disease and drive #healthcare breakthroughs. Read more about her contributions: news.cs.washington.edu/2025/04/02/s... #ThisIsUW #CompBio #AIforGood

‘Pushing the field to the next stage’: Allen School professor Su-In Lee recognized as a Fellow of the International Society for Computational Biology - Allen School News

Allen School professor Su-In Lee, who directs the University of Washington’s AI for bioMedical Sciences (AIMS) Lab, is shaping the future of biology and medicine through artificial intelligence. Her r...

news.cs.washington.edu

Su-In Lee@suinlee.bsky.social · last yr.

Thank you @uwcse.bsky.social! “Su-In’s body of work has completely transformed how people analyze and interpret AI/ML models. Her SHAP approach is used by essentially the entire field, not only in computational biology but all of computer science...” news.cs.washington.edu/2025/04/02/s...

‘Pushing the field to the next stage’: Allen School professor Su-In Lee recognized as a Fellow of the International Society for Computational Biology - Allen School News

Allen School professor Su-In Lee, who directs the University of Washington’s AI for bioMedical Sciences (AIMS) Lab, is shaping the future of biology and medicine through artificial intelligence. Her r...

news.cs.washington.edu

Allen School@uwcse.bsky.social · last yr.

The cover of Nature Biomedical Engineering features work from #UWAllen’s @suinlee.bsky.social on techniques for auditing #AI dermatology image classifiers—one of two projects from the lab highlighted in this issue, alongside a deep learning model for cancer insights. www.nature.com/natbiomedeng...

Nature Biomedical Engineering - Auditing medical machine learning

This issue highlights advances in applications of machine learning for diagnosing disease and for sorting and classifying health data, and includes a...

nature.com

Ed Lazowska@edlazowska.bsky.social · last yr.

Allen School professor Amy X. Zhang receives Sloan Research Fellowship for empowering users to make ‘our online spaces as rich and varied as our offline ones’ news.cs.washington.edu/2025/02/24/a...

Allen School professor Amy X. Zhang receives Sloan Research Fellowship for empowering users to make ‘our online spaces as rich and varied as our offline ones’ - Allen School News

As the head of the Allen School’s Social Futures Lab, professor Amy X. Zhang’s research draws on the design of offline public institutions and communities to then develop new social computing systems ...

news.cs.washington.edu

Su-In Lee@suinlee.bsky.social · last yr.

Check out LUNA by my colleague @mariabrbic—a generative AI model that reassembles tissues from dissociated cells! 🚀🔬 A potential game-changer for single-cell & spatial transcriptomic, IMHO!

Maria Brbic@mariabrbic.bsky.social · last yr.

Thrilled to share LUNA🌕 – our new generative AI model that reassembles tissue structures from dissociated cells! LUNA learns spatial priors over existing spatially resolved datasets with the aim to predict cell locations de novo. Check out our paper here: www.biorxiv.org/content/10.1...

Sara Mostafavi@saramostafavi.bsky.social · last yr.

Our new paper describing a scalable approach for training sequence-to-function models on personal genomes ("personal genome training"), includes our observations on when this works and its limitations. www.biorxiv.org/content/10.1... Congrats: Anna, @xinmingtu.bsky.social , @lxsasse.bsky.social

A scalable approach to investigating sequence-to-expression prediction from personal genomes

A key promise of sequence-to-function (S2F) models is their ability to evaluate arbitrary sequence inputs, providing a robust framework for understanding genotype-phenotype relationships. However, despite strong performance across genomic loci , S2F models struggle with inter-individual variation. Training a model to make genotype-dependent predictions at a single locus-an approach we call personal genome training-offers a potential solution. We introduce SAGE-net, a scalable framework and software package for training and evaluating S2F models using personal genomes. Leveraging its scalability, we conduct extensive experiments on model and training hyperparameters, demonstrating that training on personal genomes improves predictions for held-out individuals. However, the model achieves this by identifying predictive variants rather than learning a cis-regulatory grammar that generalizes across loci. This failure to generalize persists across a range of hyperparameter settings. These findings highlight the need for further exploration to unlock the full potential of S2F models in decoding the regulatory grammar of personal genomes. Scalable software and infrastructure development will be critical to this progress. ### Competing Interest Statement The authors have declared no competing interest.

biorxiv.org

James Zou@jameszou.bsky.social · last yr.

Incredibly grateful and honored to receive the 2025 Overton Prize ♥️ Surreal to follow the steps of my science heroes🙏 Truly, credit goes to my amazing students, collaborators and mentors who make research so inspiring! Also underscores the value of open academic environment that make this possible

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Amy Zhang@axz.bsky.social · last yr.

I am deeply honored to be named a Sloan Fellow this year. Thank you to my students, collaborators, and colleagues for making all of our work in @socialfutureslab.bsky.social possible. And thank you to the Sloan Foundation for your support of science and early career scientists in these times.

Alfred P. Sloan Foundation@sloanfoundation.bsky.social · last yr.

🎉Congrats to the 126 early-career scientists who have been awarded a Sloan Research Fellowship this year! These exceptional scholars are drawn from 51 institutions across the US and Canada, and represent the next generation of groundbreaking researchers. sloan.org/fellowships/...

Allen School@uwcse.bsky.social · last yr.

Zhang, whose research aims to empower people to take control of their online social experiences, is one of 3 @uofwa.bsky.social faculty to earn Sloan Fellowships this year, joined by @neuroamyo.bsky.social and @uwchemistry.bsky.social ’s Diane Xiao: www.washington.edu/news/2025/02... #UWdiscovers /2

Three UW scientists named Sloan Fellows

Three University of Washington faculty members have been awarded early-career fellowships from the Alfred P. Sloan Foundation. The new Sloan Fellows, announced Feb. 18, are Amy L. Orsborn, the Clare.....

washington.edu