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.
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
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.
Nothing more fun than working with brilliant students, @uwcse.bsky.social @chanwoo-kim.bsky.social & @sohamgadgil.bsky.social, on our Nature Reviews bioeng. paper!🎉We review challenges & opportunities for making medical AI trustworthy through transparency in data, models & deployment.
rdcu.be/eFnIc
🚀 We’re hiring! Multiple postdocs & a program manager to push the frontiers of explainable AI in cutting-edge biomedical research—Alzheimer’s, aging, cancer & medical AI. Start immediately. Friends, please RT🙏
Learn more: drive.google.com/file/d/15mMR...
#postdocjobs #AI #BiomedicalScience
Thrilled to share that @ethanweinberger.bsky.social is becoming Dr. Weinberger in CSE2, where he is presenting his work, including the popular contrastiveVI for single-cell data (Weinberger et al. Nature Methods)! I feel so fortunate to work with such amazing Ph.D. students at @uwcse.bsky.social! 🎉🎓
Genomic language models: opportunities and challenges: Trends in Genetics www.cell.com/trends/genet...
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...
Large language models (LLMs) are having transformative impacts across a wide range
of scientific fields, particularly in the biomedical sciences. Just as the goal of
natural language processing is to ...
www.cell.com
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...
📢📢 Junior researchers attending #ICLR2025, be sure to check out the mentoring chat sessions!
More info here:
blog.iclr.cc/2025/04/23/i...
You can find all the sessions on the ICLR.cc schedule!
euanashley
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.....
