@madduri

Senior Scientist @argonne and @UChicago. Orcid: 0000-0003-2130-2887. likes=bookmarks

 Chicago,IL
anl.gov/profile/ravi-k-madduri
Joined October 2007
  • Tweets2.1K
  • Following1.1K
  • Followers795
Ravi Madduri retweeted
Alex Bick@AlexBickMDPhD
15 Jul 2025
New preprint: teaching single-cell foundation models to learn from perturbations in collaboration with @madduri & @RUNX1Research supported by @cziscience. Closing the loop identified a target for RUNX1-FPD now in Ph2 trials 🔗biorxiv.org/content/10.1101/… 🧵by @yash_persh👇

Closing the loop: Teaching single-cell foundation models to learn from perturbations

The application of transfer learning models to large scale single-cell datasets has enabled the development of single-cell foundation models (scFMs) that can predict cellular responses to perturbat...

biorxiv.org
Yash Pershad@yash_pershad
14 Jul 2025
We are excited to share our work on "closing the loop" 🔄 - a framework enabling single-cell foundation models (scFMs) to learn from experimental validation and dramatically improve their predictive accuracy! (1/n)
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🧪 Now published in Bioinformatics Advances: “Benchmarking accelerated next generation sequence (NGS) analysis pipelines”   Read the full paper here: doi.org/10.1093/bioadv/vbaf0… Authors include: @madduri, @A_D_Rowe
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Ravi Madduri retweeted
Alex Bick@AlexBickMDPhD
2 May 2025
Honored to be selected as a 2025 @VanderbiltU Chancellor Faculty Fellow! news.vanderbilt.edu/2025/05/…

11 Vanderbilt faculty members selected as 2025 Chancellor Faculty Fellows

Eleven outstanding faculty members from across the university have been selected for the 2025 cohort of Chancellor Faculty Fellows. Each fellow holds the title of Chancellor Faculty Fellow and...

news.vanderbilt.edu
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Interact with all of the results in the Pleiotropy Atlas (PLATLAS)! platlas.cels.anl.gov/ [2/3]
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Very excited to share our preprint led by @MGLevin @skoyamamd @jakob_woerner & with @damrauer assessing genome-wide pleiotropy of >1,000 clinical traits across ~1.7M individuals with nearly 30K locus-trait associations! medrxiv.org/content/10.1101/… @medrxivpreprint [1/3]
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Great talk by Zilinghan at #AMIA on our joint work with @_anuragverma at UPenn on using LLMs in the context of rare disease research
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The Million Veteran Program is the @DeptVetAffairs' gift that keeps on giving...critical clues to the etiology and treatment of coronary disease, the #1 cause of death worldwide. Thank you U.S. Veterans and program leadership for making this possible. Let's keep it going!
Dr. Pam R@PamR33
5 Mar 2025
"Among all the uncertainty, you can always count on awesome science to make you smile. Check out our latest @CellCellPress interdisciplinary endeavor—a reminder that we all have a 🫀, whether right-dominant or not! sciencedirect.com/science/ar…
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How decoding the genome can help cure disease Don’t miss today’s entry in the @AI_and_Science Schmidt Fellows Speaker Series! Featuring Hae Kyung Im (@hakyim), Associate Professor of Medicine and Human Genetics at @UChicago! datascience.uchicago.edu/eve…
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Our paper on "Genome-wide association study of prostate-specific antigen levels in 392,522 men identifies new loci and improves prediction across ancestry groups" with @johnwitte and other collaborators has been accepted for publication in @NatureGenet !
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check out our new preprint led by @Charles_Zhou12 and supervised by @MengjieChen6 and me doi.org/10.1101/2024.11.11.6… where we present scPrediXcan which integrates deep learning and single cell expression data into a powerful cell type specific TWAS framework
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If you are at #ASHG24, we have several more presentation today 1. Platform talk on "Genome-Wide Assessment of Pleiotropy Across >1000 Traits Among 1.5 Million Participants of Diverse Biobanks" by @MGLevin at 10:30AM FourSeason BR 2&3 @skoyamamd @damrauer @pnatarajanmd @madduri
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Our group has contributed to three platform talks and four posters at #ASHG24 this year applying #HPC and #AI to Human Genetics! I am proud of all we were able to accomplish this year. cc @_anuragverma @hakyim
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eppro02.ativ.me/appinfo.php?… #ASHG24 Please come and hear about our work on scPrediXcan: leveraging single-cell data for transcriptome-wide association studies at cell-type level through transfer learning with @hakyim in Machine Learning and AI Applications in Human Genetics session.
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Ravi Madduri retweeted
Alex Bick@AlexBickMDPhD
11 Sep 2024
Very much enjoyed updating the @cziscience community on work led by @yash_pershad & @alyssa_c_parker with @madduri @LabObeng @LabAgarwal @RUNX1Research to move from single cell sequencing to RUNX1 therapies at the annual CZI Cell Science meeting!
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🚀 We’re excited to announce the 1.0 release of APPFL, available now on GitHub and PyPi! Key highlights include improved security features, enhanced scalability, and new tools for creating end-to-end secure federations. Read the full release notes appfl.ai/en/latest/changelog…. (1/3)
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A huge thanks to the @doescience for their funding and support! Hear from Under Secretary for Science and Technology, Geri Richmond, on the impact of this technology: Watch youtube.com/clip/UgkxToaUid4….

✂️ APPFL Geri Richmond

32 seconds · Clipped by Ravi Madduri · Original video "ASCAC meetin...

youtube.com
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APPFL is open-source—try it today and help advance science with secure federations! 🛡️🧪 #FederatedLearning #OpenSource #APPFL @argonne
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Thank you to the whole team for the wonderful collaboration! Javier Gómez Ortega, @Sid_Mahesh_12, Tarak Nandi, @madduri, and @PelkaLab! nitter.cf/TheodorisLab/status/18…
Theodoris Lab@TheodorisLab
19 Aug 2024
We are excited to share work led by @hanimal725 and @madhavanvvs developing a quantized multitask learning strategy for network biology, built on a foundation model pretrained on ~95M single-cell transcriptomes. Manuscript: tinyurl.com/qmtl-gf Model: huggingface.co/ctheodoris/Ge…
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We are one of the three!
Argonne National Lab@argonne
15 Aug 2024
Argonne will support three innovative artificial intelligence (AI)-driven science projects as part of the first round of awards from the National Artificial Intelligence Research Resource (NAIRR) Pilot - bit.ly/45QbhcJ
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Way to go @pnatarajanmd
Eric Topol
@EricTopol
13 Aug 2024
My conversation with @pnatarajanmd on preventing cardiovascular disease is the new Ground Truths podcast —how low to go for LDL cholesterol? — apoB, Lp(a), polygenic risk score, CHIP, role of inflammation —new RNA drugs [sorry, link is in my profile due to X-suppression]
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