David Fischer
@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
ai4biomedicine.org
Reposted by David Fischer
Our featured article: Adapting systems biology to address the complexity of human disease in the single-cell era go.nature.com/3XBo6Vh #Review by @davidsebfischer.bsky.social, Martin A. Villanueva, Peter S. Winter & @shaleklab.bsky.social @broadinstitute.org @mit.edu @ragoninstitute.bsky.social
Adapting systems biology to address the complexity of human disease in the single-cell era - Nature Reviews Genetics
Differences between humans and experimental models create a translational gap that makes it difficult to extrapolate research findings. The authors review systems-focused approaches to identify and co...
go.nature.com
July 18, 2025 at 8:05 AM
Our featured article: Adapting systems biology to address the complexity of human disease in the single-cell era go.nature.com/3XBo6Vh #Review by @davidsebfischer.bsky.social, Martin A. Villanueva, Peter S. Winter & @shaleklab.bsky.social @broadinstitute.org @mit.edu @ragoninstitute.bsky.social
Reposted by David Fischer
A major KI initiative to recruit new assistant professors with outstanding proposals in all areas of medicine, biomedicine and public health. We offer an amazing research environment, great colleagues and generous startup packages. Check it out and get working on your applications! (repost please!)
Applications are now open! We are recruiting 20 Assistant Professors in a wide range of subject areas. We're looking for early-career researchers with strong scientific merits and future potential.
🔗 All positions: ki.se/en/about-ki/...
🔗 All positions: ki.se/en/about-ki/...
June 25, 2025 at 10:08 AM
A major KI initiative to recruit new assistant professors with outstanding proposals in all areas of medicine, biomedicine and public health. We offer an amazing research environment, great colleagues and generous startup packages. Check it out and get working on your applications! (repost please!)
Check out this drone footage of our institute!
AI in medicine ready for takeoff 🤖🚁 We flew a drone through the Institute of Artificial Intelligence @MedUniWien. Join us for the trip and watch our team at "work". #AI #biomedicine #innovation #makingof (1/2)
May 6, 2025 at 12:25 PM
Check out this drone footage of our institute!
Cool positions for AI x biology in Belgium!
Our new call for VIB.AI group leaders is online! Junior and senior positions available to develop innovative ML methods in biology. With professorship at CS or Medical Faculty. Deadline 14th June. DM for more info.
We are looking for additional Group Leaders to join the growing computational biology community at VIB.
If you are excited about combining AI and machine learning with fundamental biology, we would love to hear from you!
https://vib.ai/en/opportunities#/job-description/110906
If you are excited about combining AI and machine learning with fundamental biology, we would love to hear from you!
https://vib.ai/en/opportunities#/job-description/110906
May 2, 2025 at 7:18 PM
Cool positions for AI x biology in Belgium!
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.
Adapting systems biology to address the complexity of human disease in the single-cell era go.nature.com/3XBo6Vh #Review by @davidsebfischer.bsky.social, Martin A. Villanueva, Peter S. Winter & Alex K. Shalek @broadinstitute.org @mitofficial.bsky.social @ragoninstitute.bsky.social
Adapting systems biology to address the complexity of human disease in the single-cell era - Nature Reviews Genetics
Differences between humans and experimental models create a translational gap that makes it difficult to extrapolate research findings. The authors review systems-focused approaches to identify and co...
go.nature.com
March 13, 2025 at 3:53 AM
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.
Reposted by David Fischer
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...
Programs, origins and immunomodulatory functions of myeloid cells in glioma - Nature
A study of myeloid cells in gliomas, a type of brain tumour, used a factor-based computational framework to reveal four immunomodulatory gene-expression programs that are expressed across myeloid cell...
www.nature.com
February 27, 2025 at 4:05 AM
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...
Read about self-supervision in models of scRNA-seq data in this deep dive!
Our paper on Self-Supervised Learning in Single-Cell Genomics is out in Nature Portfolio Machine Intelligence! 🙌 🧬🤖
Big thank you to my co-authors Mojtaba Bahrami, Yufan Xia, @davidsebfischer.bsky.social, and @fabiantheis.bsky.social . 👏
nature.com/articles/s42...
Big thank you to my co-authors Mojtaba Bahrami, Yufan Xia, @davidsebfischer.bsky.social, and @fabiantheis.bsky.social . 👏
nature.com/articles/s42...
Delineating the effective use of self-supervised learning in single-cell genomics - Nature Machine Intelligence
Self-supervised learning techniques are powerful assets for enabling deep insights into complex, unlabelled single-cell genomic data. Richter et al. here benchmark the applicability of self-supervised...
nature.com
January 7, 2025 at 10:28 AM
Read about self-supervision in models of scRNA-seq data in this deep dive!
Reposted by David Fischer
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 🧬
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 🧬
December 19, 2024 at 5:02 PM
Reposted by David Fischer
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/
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/
December 25, 2024 at 11:48 PM
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/
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/
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!
Excited to share our lab's first preprint: we used spatial transcriptomics to dissect how aging disrupts the cycling ovary! 🧵
This was an incredible team effort w/ @jennifergarrison.bsky.social #TammyLan @davidsebfischer.bsky.social #AlisonKochersberger #RuthRaichur #SophiaSzady
This was an incredible team effort w/ @jennifergarrison.bsky.social #TammyLan @davidsebfischer.bsky.social #AlisonKochersberger #RuthRaichur #SophiaSzady
December 19, 2024 at 9:04 AM
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!
Reposted by David Fischer
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...
Method of the Year 2024: spatial proteomics - Nature Methods
Approaches for profiling the spatial proteome in tissues are the basis of atlas-scale projects that are delivering on their promise for understanding biological complexity in health and disease.
www.nature.com
December 6, 2024 at 8:52 PM
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...
Reposted by David Fischer
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
Find out how it can serve you ⏬
🧵1/8
An integrated transcriptomic cell atlas of human neural organoids - Nature
A human neural organoid cell atlas integrating 36 single-cell transcriptomic datasets shows cell types and states and estimates transcriptomic similarity between primary and organoid counterparts, sho...
www.nature.com
November 21, 2024 at 10:11 AM
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
Find out how it can serve you ⏬
🧵1/8
Reposted by David Fischer
I think Pack 2 is up to 135/150 now, so between the two you can follow 285 bioml researchers in about 4 clicks!
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!)
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!)
November 20, 2024 at 6:21 PM
I think Pack 2 is up to 135/150 now, so between the two you can follow 285 bioml researchers in about 4 clicks!
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
go.bsky.app/HZTJxbZ
November 20, 2024 at 5:11 PM
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
go.bsky.app/HZTJxbZ
Reposted by David Fischer
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.
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.
November 18, 2024 at 6:22 PM
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.
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.
Reposted by David Fischer
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!)
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!)
Anybody have a bioml starter pack?
November 18, 2024 at 5:09 PM
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!)
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!)
Reposted by David Fischer
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⬇️
November 16, 2024 at 3:15 PM
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⬇️