Associate Professor @uwmadison @UWWaismanCenter. AI/ML to bridge computation and biology for mechanistic & translational insights into brains & diseases.
Madison, WI
Joined January 2012
- Tweets407
- Following455
- Followers385
- Likes1K
Developmental gene regulatory network atlas @GenomeBiology over 24 neurogenic lineages, a hierarchical roadmap revealing spatiotemporal dynamics across brain regions & species, and tracing evolution & disorder risk back to early mammalian neurogenesis, doi.org/10.1186/s13059-026-0…
Daifeng Wang retweeted
Posting my talk tomorrow at MoML 2026 at @MIT (organized by @AIHealthMIT lectures.gersteinlab.org/sum… New slides on World Modeling for drug dev. & its integration with @daifengwang's drug repurposing
Daifeng Wang retweeted
🧠 JOIN US FOR A LIVE WEBINAR to learn more about the PsychAD consortium's work and selected findings, presented by @daifengwang and @hoondy and Georgios Voloudakis MD, PhD and @Kirangirdhar and @panos_roussos
📅 Tue 13th Oct 2026
⏰ 11:00 AM (EDT)
cassyni.com/events/BSsbDno2a…
Daifeng Wang retweeted
Thrilled to see PsychAD published! 🧠
A journey begun in 2019: 60+ investigators, 8 institutions, 1,494 human brains—illuminating brain aging and disease.
Supported by NIA. Made possible by the generosity of donors and families.
psych-ad.org/
nature.com/collections/jfibi…
Daifeng Wang retweeted
The atlas of gene expression in the prefrontal cortex was created using samples from almost 1,500 donors from infants to centenarians
go.nature.com/47jdzT6
Our knowledge-guided graph learning iBrainmap @panos_roussos @NatureComms infers personalized roadmap of each donor’s cell interactions & gene networks, revealing functional heterogeneity, disease subpopulations & trajectories across >1900 brains #PsychAD nature.com/articles/s41467-0…
Daifeng Wang retweeted
Today we're publishing nine #PsychAD papers across @NaturePortfolio journals, mapping 6.3M+ brain cells to study aging, disease, genetic regulation and new computational methods. Explore the PsychAD collection: nature.com/collections/jfibi… Learn more: psych-ad.org
Our AI framework PASCode w/@panos_roussos @NatureMedicine uses graph neural networks to score phenotypic association of >6M cells #PsychAD and discover unknown cell subtypes & genes in #Alzheimers for pathology, cognitive resilience & psychiatric symptoms nature.com/articles/s41591-0…
Daifeng Wang retweeted
Congratulations to the @UWMadison teams selected for the WARF, @MilliporeSigma Challenge Grant!
From organoids to organ-on-chip systems, AI-powered platforms and more, these projects are developing the next generation of drug testing technologies. warf.org/news/advancing-drug…
Our SegJointGene jointly segments cells and prioritizes spatial genes for cell-type-specific segmentation from spatial transcriptomics and proteomics data, using information-entropy-guided convolutional neural networks. academic.oup.com/bioinformat…
CellTRIP infers virtual cell environment to simulate cell dynamics & interactions (beyond #virtualcell) by multi-agent reinforcement learning. It enables in-silico perturbation of any cells or genes, prediction of spatial/temporal changes, and gene prioritization for single-cells
Inferring virtual cell environments using multi-agent reinforcement learning biorxiv.org/content/10.1101/… #biorxiv_bioinfo
Honored to host my postdoc advisor, Dr. Mark Gerstein @MarkGerstein from Yale, for annual DeMets Lecture today @uwcdis @UWMadison. Inspiring talk & fantastic overview on AI in biomedicine: single-cell genomics, drug discovery, genomic privacy, LLM & agents, and quantum computing.
Daifeng Wang retweeted
Posting my talk at @UWMadison (the DeMets lecture, hosted by @daifengwang). Lots on bioinformatics methods for studying the brain: classic, present (DL) & future (quantum) lectures.gersteinlab.org/sum… New slides on AI agents (from @XiangruTang) & homomorphic encryption for privacy
Daifeng Wang retweeted
Interested to pursue graduate studies (MS/PhD) at the intersection of biological, biomedical problems and data science? Join us for a virtual open house on Nov 13th to learn more about our Biomedical Data Science program at UW Madison @UWMadison!
biostat.wiscweb.wisc.edu/edu…
Our COSIME@natmachintell backpropagates learnable optimal transport on multi-view deep neural networks to prioritize features & interactions across views, w/ applications in single-cell & spatial transcriptomics, epigenomics, metabolomics in #alzheimers nature.com/articles/s42256-0…
We unveil early gene regulatory landscape of brain development (22 neurogenic lineages across 9 brain regions) in human, macaque & mouse, revealing human evolution & possible reg. network dynamics for disorders & traits like autism, schizophrenia, intel. disability, microcephaly
Dynamic landscapes of gene regulatory networks in early mammalian neurogenesis: Insights into brain evolution and disorder risk biorxiv.org/content/10.1101/… #biorxiv_devbio
Our single-cell graph learning & network medicine analyses w/ @GersteinLab reveal brain cell-type-specific regulatory networks and TF influence, novel disorder genes, repurposed drugs, and drug-cell eQTLs for #schizophrenia #bipolar #autism #psychencode @MarkGerstein
Network-based drug repurposing for psychiatric disorders using single-cell genomics dlvr.it/TN8TKF
Daifeng Wang retweeted
Posting my talk on AI & Brain Disorders at Princeton CHDI on Tuesday lectures.gersteinlab.org/sum… Lots of new slides on drug repurposing (from @daifengwang) and predicting age from histology images (from @RanMeng_m)
Daifeng Wang retweeted
Tracking how cells change over time is nearly impossible with today’s technology, but the lab of Daifeng Wang has developed a new machine learning algorithm called ARTEMIS that can predict the continuous changes in cell populations over time. Check it out! waisman.wisc.edu/2025/07/29/…
Thrilled to attend #ISMBECCB2025 in Liverpool, UK. We have two talks on Tuesday, July 22: NETRem @SaniyaKhullar at 12:20 pm in NetBio Room 01B & ARTEMIS @sayalialatkar at 3:40 pm in SysMod Room 01C. Happy to catch up!