@Schmidt_Center

We seek to understand the programs of life by creating a strong community at the interface of ML and biology. Join our mailing list: https://xitter.cf/t.co/n7FUUqQR3q

 Broad Institute
ericandwendyschmidtcenter.org/
Joined August 2022
  • Tweets424
  • Following161
  • Followers1K
159Media
Eric and Wendy Schmidt Center retweeted
Models, Inference & Algorithms at Broad@MIA_at_BroadOct 20
📅 Wednesday, October 21 (tomorrow) Joint presentation on Computational methods for understanding genotype-phenotype maps 🎤 9:00 am primer with @cmarti_ga 🏫 @CSHL 🎤 10:00 am seminar with Samantha Petti 🏫 @TuftsUniversity Learn more: broad.io/MIA @broadinstitute
1
2
146
🧠 New work by @Schmidt_Center postdoctoral fellow @EdJiayu with collaborators at @Columbia and @NYGenome introduces SONIC, a computational tool that finds #SpatialOmics patterns within tissue samples and compares them across tissues, no alignment needed: arxiv.org/pdf/2602.02825v2
Jiayu Su@EdJiayuOct 15
Our expanded preprint, SONIC, is out! Spatial omics maps thousands of molecular patterns per sample. SONIC detects patterns amid noise and compares them across tissues, even when samples cannot be aligned. arxiv.org/abs/2602.02825

Consistent and scalable detection and comparison of spatial patterns

Spatial omics maps molecular features within tissues to study their organization across biological contexts, including disease and development. Interpreting these maps requires distinguishing...

arxiv.org
1
1
12
801
@broadinstitute
51
🩸 New work by @Schmidt_Center PhD fellow Hannah Schlüter and Director Caroline Uhler, with Trinadha Rao Sornapudi and G.V. Shivashankar of #PSI and @ETH, shows deep learning on #single-cell PBMC chromatin images reveals patient-level responses to radiation therapy.
2
2
5
403
Work by Hannah Schlüter, Trinadha Rao Sornapudi, Dominic Leiser, Sandra Koller, Zeynep Karavelioglu, Caroline Uhler, and G. V. Shivashankar. @broadinstitute
1
61
nature.com/articles/s41598-0…

Deep learning-based analysis reveals patient-level cancer therapy trajectories using single-cell...

Scientific Reports - Deep learning-based analysis reveals patient-level cancer therapy trajectories using single-cell PBMC chromatin images

nature.com
30
Replying to @Schmidt_Center @ETH
Work by Hannah Schlüter, Trinadha Rao Sornapudi, Dominic Leiser, Sandra Koller, Zeynep Karavelioglu, Caroline Uhler, and G. V. Shivashankar. @broadinstitute
1
14
nature.com/articles/s41598-0…

Deep learning-based analysis reveals patient-level cancer therapy trajectories using single-cell...

Scientific Reports - Deep learning-based analysis reveals patient-level cancer therapy trajectories using single-cell PBMC chromatin images

nature.com
3
Eric and Wendy Schmidt Center retweeted
Models, Inference & Algorithms at Broad@MIA_at_BroadOct 13
‼️ Please note that tomorrow's MIA with Dayhoff Labs has been cancelled. We apologize for the inconvenience!
2
986
Our postdoc application is now open! Interested in pursuing #machinelearning, #appliedmathematics, #statistics, or #computationalresearch to work on biomedical problems at the @broadinstitute? Apply to become a @Schmidt_Center postdoctoral associate: broad.io/ewsc-postdoc
5
6
1,551
🧬New study by @Schmidt_Center former visiting fellow Lars Lorch & @arkrause, with @JiaqiZhangVic & Caroline Uhler, introduces latent causal diffusion (LCD) to predict transcriptional effects of unseen gene perturbation combinations and uncover direct gene-to-gene causal effects.
2
1
7
1,637
Work by Lars Lorch, Jiaqi Zhang, @_bunnech, Andreas Krause, @bschoelkopf, and Caroline Uhler. @broadinstitute
114
pnas.org/doi/10.1073/pnas.26…

Latent causal diffusions for single-cell perturbation modeling | PNAS

Perturbation screens hold the potential to systematically map regulatory processes at single-cell resolution, yet modeling and predicting transcrip...

pnas.org
78
pnas.org/doi/10.1073/pnas.26…

Latent causal diffusions for single-cell perturbation modeling | PNAS

Perturbation screens hold the potential to systematically map regulatory processes at single-cell resolution, yet modeling and predicting transcrip...

pnas.org
6
Eric and Wendy Schmidt Center retweeted
Yasha Ektefaie
@YEktefaieOct 7
Honored to be named a 2026 STAT Wunderkind 🎉! The profile covers a question driving our work at the @broadinstitute/@Schmidt_Center: how can we connect ideas generated by AI to experiments that actually test them? Grateful to our collaborators and the mentors who have supported me along the way. Thank you to @statnews for highlighting this work! Check out my profile here: statnews.com/wunderkinds/yas… #STATWunderkinds
3
6
1
58
2,378
Eric and Wendy Schmidt Center retweeted
STAT
@statnewsOct 7
This year, as in past years, we’ve found inspiring stories and innovative research. All are blazing new trails as they attempt to answer some of the biggest questions in science and medicine. Meet the 2026 #STATWunderkinds! statnews.com/wunderkinds/

Meet the 2026 STAT Wunderkinds

This year, as in past years, we've found inspiring stories and innovative research. All are blazing new trails as they attempt to answer some of the

statnews.com
3
5
2
19
9,480
🎉 Congratulations to @Schmidt_Center postdoctoral fellow @YEktefaie on being named a 2026 @statnews Wunderkind! Learn more about Yasha and his work: statnews.com/wunderkinds/yas… @broadinstitute #STATWunderkinds #SchmidtCenter #BroadInstitute #BiomedicalResearch #AIinBio
3
7
388
Eric and Wendy Schmidt Center retweeted
Models, Inference & Algorithms at Broad@MIA_at_BroadSep 29
📅 Wednesday, September 30 🎤 Primer, 9:00 am: Agentic AI for Scientific Discovery, part 1 💬 George Karniadakis 🏫 @brownengin 🎤 Seminar, 10:00 am: Agentic AI for Scientific Discovery, part 2 💬 Nazanin Ahmadi 🏫 @BrownUniversity
1
1
2
179
🥉 Congratulations to @Schmidt_Center postdoctoral fellow @skoularidou who was presented the Guy Medal in Bronze for her outstanding contributions to statistics and data science by the @RoyalStatSoc at their Annual Conference this September! Learn more: rss.org.uk/news-publication/…
3
3
20
1,203
🧬 New work from @Schmidt_Center researchers @KaiCao181389, Orr Ashenberg, and Director Caroline Uhler introduces StriMap, a structure-informed deep learning framework for modeling TCR-peptide-HLA interactions TCR-peptide-HLA interactions. 🔗 Explore: strimap.com
3
4
17
1,316
Work by Kai Cao, Rui Li, @mstrazar07, @ericmichbrown, @PhuongTTNguyen1, Marie-Madlen Pust, Jihye Park, Daniel B. Graham, Orr Ashenberg , Caroline Uhler, and @TheXavierLab.
83
Load more