Su-In Lee
@suinleelab
Paul G. Allen Endow Professor in the Allen School of Computer Science at the University of Washington; @uwcse https://bsky.app/profile/suinlee.bsky.social
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 news.cs.washington.edu/2024/04/03/thr…
By sharing insights into the inner workings of deep neural networks, @suinleelab is developing foundational AI principles + techniques to address new scientific questions. Her work has the potential to significantly advance #SingleCell biology 📸Mark Stone
Dr. Su-In Lee (@suinleelab), who directs @UW’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's 2025 Class of Fellows: bit.ly/3XQalT6
Congratulations to us! 🎉🥳 I'm sorry I couldn't make it to ISMB this year—really wish I could have been there to celebrate in person!
Attending #ISMB2025 and honored to be recognized as a Fellow of the International Society for Computational Biology (@iscb Class of 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/10.11…
Do current genomic language models (pre-trained on whole genomes) learn a foundational understanding of biology in the non-coding region of human genomes? A new evaluation led by @AmberZqt suggests not yet! 1/N paper: biorxiv.org/content/10.110…
“韓 파운데이션 모델에도 ‘설명 가능한 AI’가 필요” | 중앙일보 joongang.co.kr/article/253501…
My @UCLA_CGSI 2024 talk is on YouTube -an update to my 2023 talk on #LLMs in #compbio. Humbling to rewatch: some takes are outdated or wrong but many challenges remain. Short on time? Watch the last 10 min of 2024 talk. 2023: youtu.be/tRTVxlakJCw 2024: youtu.be/aBWJomCzkok
.@suinleelab's work in explainable AI is providing a better understanding of the inner workings of deep neural networks that can be applied to new biological discoveries + insights from complex datasets 📸Mark Stone
HUGE congratulations to my PhD student @sharma_ashish_2 for doing amazing work now recognized with the @TheOfficialACM Doctoral Dissertation Award. It's been a great pleasure to work with you! Great to see a major award go towards high-impact work in AI for mental health.
Congratulations to @UW #UWAllen Ph.D. grads @sharma_ashish_2 & @sewon__min, @TheOfficialACM Doctoral Dissertation Award honorees! Sharma won for #AI tools for mental health; Min received honorable mention for efficient, flexible language models. #ThisIsUW news.cs.washington.edu/2025/06/04/all…
New Graduate Certificate in Data-Driven Dynamical Systems & Controls! Come join us, Fall 2025! Topics include: Data-driven dynamics, control, & sensing with modern machine learning Stacks towards Masters degree at UW me.washington.edu/future-student… Application deadline: July 1, 2025
Looking forward to visit @IcahnMountSinai tomorrow morning. If you are around NYC and are interested in single cell / spatial genomics, the talk starts at 10am. Hope you see you there! events.mountsinaihealth.org/event/genetics…
A symposium focusing on AI foundation models, generative models, and agentic AI will be held on Stanford campus before ASTRO annual meeting in SF. Please mark your calendars; detailed program and registration website for the symposium will be made available online soon.
Wow, this paper on interpreting ML models by @suinleelab and Scott Lindberg came out in 2017 and has 34k citations! Congratulations @suinleelab and your team, what an achievement :-).
Are you interested in the intersection of #AI and molecular #biology? Come to our @KeystoneSymp 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
Thrilled to share that @efweinberger 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 @uwcse!🎉
Thrilled to see my digital art on the cover of @TrendsGenetics! 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.…
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 @UW’s @suinleelab was recently elected a Fellow of the @iscb 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
Thank you @uwcse 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-…
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 @zamir_ar…
The cover of @natBME features work from @UW #UWAllen’s @suinleelab 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…