🔥The 9th Round of Easy Loan, Earn $40 Reward is in progress❗️ ⏰ Promotion Period: January 15th - Feburary 15th, 2025 👉 Register now and check more details at gate.io/campaigns/358

Kyunghyun Cho (Kyunghyun Cho), Professor of Computer Science and Data Science, has been named recipient of the Glen de Vries Chair for Health Statistics by the Courant Institute and New York University. Congratulations!

🙏 Huge thanks to Hanna Hajishirzi University of Washington for the 4th lecture on Reasoning and Planning in Large Language Models. Watch the recording: youtube.com/watch?v=cMiu3A… 🧠 Sign up for the Advanced LLM Agents MOOC: llmagents-learning.org

🌟 Congrats to the 2025 ISCB Fellows! 🌟 Honoring leaders in #computationalbiology for outstanding research, innovation and service. See this year's Fellows and their contributions here: t.ly/VYfLk

I'm deeply honored to be elected as an ISCB Fellow this year!🏅 Following last year’s ISCB Innovator Award, this recognition strengthens my commitment to advancing computational biology.🧬 Grateful to my students, mentors, and colleagues for their support! iscb.org/iscb-news-item…

Congratulations to University of Washington #UWAllen professor Su-In Lee on her election as a Fellow of the International Society for Computational Biology! ISCB News honored Lee for her pioneering work on explainable #AI for biology and medicine. iscb.org/iscb-news-item… #PopulationHealth #ThisIsUW

Congratulations, Elham Azizi 👏

#RECOMB2025 early registration deadline has been extended! 🎉 🗓️ New deadline: 🔹 02:59 PM March 21, GMT Register soon to take advantage of the discounted rates and connect with fellow scientists! 👉 More info: recomb2025.com

Exciting @GermanStemCell workshop on computational approaches in single cell genomics in stem cell research! 🧬🔬 With Sara and Tim, two trainer from the lab, this’ll be fun! More info & registration here: gscn.org/conferences-ev… 🌟

The cover of Nature Biomedical Engineering features work from University of Washington #UWAllen’s Su-In Lee on techniques for auditing #AI medical image classifiers in dermatology—one of two projects from the lab highlighted in this issue, alongside a deep learning model for new cancer insights. nature.com/natbiomedeng/v…

Tired of manual prompt engineering to solve new task with your LLM? We introduce Joint Inference—a framework for fully unsupervised adaptation of large (vision) language models that often performs on par with supervised approaches 🔥 #ICLR2025 In collaboration with Amir Zamir

Thank you Allen School for the article! “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/su-…

After years of building AI models to decode the language of cells, I’m thrilled to announce my next chapter: I will join Xaira Therapeutics as SVP and Head of Biomedical AI. Xaira’s vision is bold—and deeply aligned with my own: to build a virtual cell powered by AI, capable of

#UWAllen University of Washington’s Su-In Lee was recently elected a Fellow of the ISCB News for her groundbreaking 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/su-… #ThisIsUW #CompBio #AIforGood

Thrilled to see my digital art on the cover of Trends in Genetics! The two binary strings represent reverse-complementary DNA sequences (00=A, 01=C, 10=G, 11=T) and the connecting rectangles represent “embeddings” learned by DNA language models. Our article: doi.org/10.1016/j.tig.…

Dr. Su-In Lee (Su-In Lee), who directs University of Washington’s AI for bioMedical Sciences Lab, is shaping the future of biology and medicine through AI. 🏆 In recognition of her groundbreaking research, Dr. Lee has been inducted into ISCB News's 2025 Class of Fellows: bit.ly/3XQalT6

Thrilled to share that Ethan Weinberger is becoming Dr. Weinberger in CSE2, where he is presenting his work, including the popular contrastiveVI for single-cell data science (Weinberger et al. Nature Methods)! I feel so fortunate to work with such amazing Ph.D. students at Allen School!🎉

Are you interested in the intersection of #AI and molecular #biology? Come to our Keystone Symposia this September in beautiful Santa Fe! keysym.us/KSAIBio26 #KSAIBio26 Scholarship and short talk deadline May 20 so apply soon! Look forward to seeing you there! #AcademicTwitter

Wow, this paper on interpreting ML models by Su-In Lee and Scott Lindberg came out in 2017 and has 34k citations! Congratulations Su-In Lee and your team, what an achievement :-).

By sharing insights into the inner workings of deep neural networks, Su-In Lee is developing foundational AI principles + techniques to address new scientific questions. Her work has the potential to significantly advance #SingleCell biology 📸Mark Stone