Daisy Ding
@DaisyYDing
AI + Precision Medicine | PhD @Stanford
Most companies fail at product and distribution but it’s easier to blame distribution. If you’re failing at distribution, check the product.
🧬 What if we could build a virtual cell to predict how it responds to drugs or genetic perturbations? Super excited to introduce CellFlux at #ICML2025 — an image generative model that simulates cellular morphological changes from microscopy images. yuhui-zh15.github.io/CellFlux/ 💡…
I'm thrilled to share our new study out in @NatureMedicine! We show that a blood test can estimate how aged or youthful one’s organs are and that these organ ages predict future disease and lifespan. Final paper from my PhD in the @wysscoray lab. 🧵1/12 🔗 nature.com/articles/s4159…
Defining “what is good” is central to both AI and Science. Despite massive efforts towards building the Virtual Cell, our recent @NatureBiotech article reflects on whether current gold standards (i.e., evaluation metrics) still hold up. nature.com/articles/s4158…
What makes a good cell embedding🧬? Is a higher score always better? Not quite! In this new preprint with @Jure & #Aviv, we ... [1/3] biorxiv.org/content/10.110…
🤔 How do you train an AI model to think and reason like a biology expert? We found the answer: let it learn from real expert discussions! Checkout our recent work on a breakthrough approach to improve LLM scientific reasoning - by learning directly from 10+ years of genomics…
I’m very excited to be joining MIT Biological Engineering @MITdeptofBE as an Assistant Professor and the Ragon Institute @ragoninstitute as a member in January 2026! I will be recruiting students and postdocs (see more info below).
Excited to share our new study in @Nature! We uncover how the vascular glycocalyx—a carbohydrate-rich coating on blood vessels—plays a crucial role in brain health and aging. A @wysscoray & @CarolynBertozzi labs collaboration. 🍭🧠 #glycotime (1/12) nature.com/articles/s4158…
I am happy to announce our new paper "Univariate-guided sparse regression". It's a new lasso that leverages the signs and magnitude of univariate coefficients . Sparser and more interpretable than the lasso. We're excited! arxiv.org/abs/2501.18360 R: github.com/trevorhastie/u…
I’m super excited to share what I’ve been working on for the last (many) years: a spatial + genomic + transcriptomic characterization of how the breast cancer microenvironment evolves through immunotherapy! (1/x) biorxiv.org/content/10.110…
Our new youTube channel: youtube.com/playlist?list=… Comments welcome!
Excited to announce our new paper and software for multiview analysis: supervised learning with multiple sets of features. Can be used with lasso/elastic net; the idea generalizes to boosting and random forests. See tibshirani.su.domains/multiview/Coop… for a 3 min video explaining the idea.