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davidsebfischer.bsky.social
I develop mechanistic machine learning tools for single-cell and spatial omics data to understand the regulatory patterns underlying human disease dynamics. ai4biomedicine.org
11 posts 1,061 followers 1,064 following
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Posts 13 Comments 7

Currently, there's a lot of interest in quantitative models that would help us understand and predict features of the complex cellular systems that underlie human health and disease - think about virtual cells, for example. On can trace some of these ideas back to the early days of systems biology.

submitted 7 days ago • 1 comment

Proud to share our @nature.com paper, co-led by Chadi El Farran & Charles Couturier under mentorship of Brad Bernstein where we develop a new framework to understand immunomodulatory myeloid cells in #glioma & lay a foundation to develop more effective immunotherapies. www.nature.com/articles/s41...

submitted 21 days ago • 3 comments

Read about self-supervision in models of scRNA-seq data in this deep dive!

submitted 72 days ago • 0 comments

Exciting news! 🚀 The Learning Meaningful Representations of Life ( #LMRL 🌟) workshop is returning at #ICLR2025! 🎉 On 27th / 28th April 2025 in Singapore 🇸🇬, this popular event returns with a fresh organizing team 👇 & bold new ideas 🧠 to explore bridging AI & life sciences 🧬

submitted 91 days ago • 1 comment

Our ChromBPNet preprint out! www.biorxiv.org/content/10.1... Huge congrats to Anusri! This was quite a slog (for both of us) but we r very proud of this one! It is a long read but worth it IMHO. Methods r in the supp. materials. Bluetorial coming soon below 1/

submitted 84 days ago • 8 comments

What cellular & multicellular changes underpin aging of ovaries? We used spatial transcriptomics to study this process in mice, capturing dynamic changes in cells, follicles, and tissue across the estrous cycle. Read about the age-related changes in these dynamics we discovered!

submitted 91 days ago • 0 comments

I could not be more thrilled to announce the Nature Methods @naturemethods.bsky.social Method of the Year is Spatial Proteomics! Please see our editorial as a roadmap to the fantastic content in this special issue! www.nature.com/articles/s41...

submitted 103 days ago • 1 comment

Super excited to share our Human Neural Organoid Atlas, now out in Nature! Led by @zhisonghe.bsky.social @josch1.bsky.social, and myself, this resource was created from 36 scRNA-seq datasets—totalling over 1.7 million cells! 🔬✨
 www.nature.com/articles/s41...
 Find out how it can serve you ⏬
 🧵1/8

submitted 119 days ago • 3 comments

I think Pack 2 is up to 135/150 now, so between the two you can follow 285 bioml researchers in about 4 clicks!

submitted 119 days ago • 1 comment

To expedite the development of a network focussed on single-cell and spatial genomics on this platform, I started to collect accounts of scientists & groups that are broadly active in these fields. This is work in progress, DM if you want to be added or have suggestions! go.bsky.app/HZTJxbZ

submitted 120 days ago • 8 comments

My goal is to understand the regulatory role of every nucleotide in the genome, and how this changes across every cell in the human body. If you are interested in doing a Ph.D. with me at UMass Chan Medical (Genomics and Comp Bio Department), see the links below. Deadline is Dec 1st.

submitted 121 days ago • 7 comments

Two BioML starter packs now: Pack 1: go.bsky.app/2VWBcCd Pack 2: go.bsky.app/Bw84Hmc DM if you want to be included (or nominate people who should be!)

submitted 122 days ago • 10 comments

What if we could look at a human tissue image🔬and quantify its biological age?🧬 And how could we get the same insights without collecting the tissue sample? In our new @biorxivpreprint, we create "tissue clocks" ⏳to do just that! www.biorxiv.org/content/10.1... 📝 #aging #tissue thread below⬇️

submitted 124 days ago • 2 comments