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Three is a magic number: Professor Su-In Lee earns trio of honors, including the “Korean Nobel Prize” in engineering, for advancing AI for biomedicine
Su-In Lee
1,011 posts
Su-In Lee
@suinleelab
Boeing Endowed Professor in the Allen School of Computer Science at the University of Washington; @uwcse bsky.app/profile/suinle…
Joined August 2015
- Becoming fully a professor in September 2021!
- I am honored to be the Paul G. Allen Endowed Associate Professor of Computer Science at #UWAllen, effective as of today.
- Became a professor "fully" this quarter. It felt different when I got emails through full-profs@cs for the first time :) My full prof resolution is to bravely try completely new things on doing science, teaching, advising Ph.D. students, and mentoring people at various levels.
- Deeply honored to receive the 2024 International Society for Computational Biology (ISCB) Innovator Award! My heartfelt gratitude goes out to my students and collaborators for their contributions in harnessing the transformative power of AI to drive breakthroughs in biomedicine.
- Machine Learning in Computational Biology (MLCB), Dec 13-14 2019, Vancouver We are excited to be holding the 14th MLCB meeting. Between 2004 and 2017, MLCB was an official NeurIPS workshop. Given the growth and maturity of the field, this year MLCB will be an independent meeting.
- I am tremendously proud of @joejanizek, my @uw MD/PhD student (who just obtained CS PhD @uwcse). His explainable AI work on cancer pharmacogenomics, co-supervised by Prof. @naxerova @MGHCSB @harvardmed and me, is now accepted for publication in Nature Biomedical Engineering! 1/3
- Finally published! 🥳🎉 Explainable AI has revealed that hematopoietic differentiation is a crucial indicator for identifying anti-cancer drug synergies in acute myeloid leukemia. nature.com/articles/s4155…
- Check out our latest paper leveraging generative AI to dig into the flaws in the reasoning process of 5 dermatology AI devices! Explainable AI is no longer a luxury! Our paper was published this morning in Nature BME: nature.com/articles/s4155… News & Views: nature.com/articles/s4155…
- Excited to announce our "deep profiling" of 18 human cancers! Incorporating all available cancer expression data into DNNs was my first idea 14 years ago when joining UW. Honored to work with brilliant minds, @weiqiu55 @uwcse and @naxerova @harvardmed!
- Excited to share our lab's work on AI for single-cell data science, just published in Nature Methods! 🥳🎉 Grateful for the chance to collaborate with these brilliant young minds @uwcse. Sincere congratulations, @efweinberger and @chrislin97! 👏 #AI #DataScience #NatureMethodscontrastiveVI from @suinleelab and colleagues isolates single-cell gene expression variations of interest in treatment-control scRNA-seq datasets. nature.com/articles/s4159…
- Excited to share that after a long embargo period, I've become a Fellow of @aimbe today! Grateful for the opportunity to collaborate with incredible students and collaborators.
- Explainable AI can predict your chance of all-cause mortality (or general health status) and explain to you why the prediction was made. Check out my incredible @uwcse PhD student @weiqiu55's work, recently published in Nature Communications Medicine! nature.com/articles/s4385…
