Sarah Urbut
@tigerstatdoc
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Cardiologist and scientist @MGHHearthealth @harvardmed fascinated by statistics, genomics @broadinstitute, and exploring the world on two wheels.
Boston, MA
Joined August 2013
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The Khetarpal lab at UVA is seeking a research associate (postdoc)! Please see the posting and reach out with any questions!
jobs.virginia.edu
Apply for Research Associate, The Robert M. Berne Cardiovascular Research Center job with University of Virginia in Charlottesville, Virginia, United States of America. Research at University of...
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Delighted to share our study led by @tigerstatdoc demonstrating the genetic generalizability of LDL-cholesterol's association with coronary artery disease across 1M individuals globally https://t.co/ZQ9zQZRa0e
@NEJMEvidence While clinical trials of LDL-C-lowering medicines have
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Enjoyed reading this paper on how to jointly model genetics and longitudinal health records https://t.co/YW0b5Uxqk5
Announcing our much-awaited updated aladynoulli, a fully interpretable Bayesian model that considers predictive and explanatory disease trajectories across the life course for individuals, anchored on underlying PGS.
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Amazing work from Sarah on Bayesian inference of longitudinal EHR trajectories and latent disease signatures. Check out the app!
Announcing our much-awaited updated aladynoulli, a fully interpretable Bayesian model that considers predictive and explanatory disease trajectories across the life course for individuals, anchored on underlying PGS.
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Excellent work by @tigerstatdoc constructing a generalized lifelong interpretable disease risk prediction model using genetics and clinical factors
Announcing our much-awaited updated aladynoulli, a fully interpretable Bayesian model that considers predictive and explanatory disease trajectories across the life course for individuals, anchored on underlying PGS.
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Follow the math, follow the pt with associated app at https://t.co/RXMxxX9mk9. Our model is truly generative, explicitly modeling the risk captured by EHR histories through Bayesian the *magic* 🪄 of mixture modeling. @SashaGusevPosts @pnatarajanmd @g_parmigiani .
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Announcing our much-awaited updated aladynoulli, a fully interpretable Bayesian model that considers predictive and explanatory disease trajectories across the life course for individuals, anchored on underlying PGS.
medrxiv.org
Understanding how disease patterns evolve over a lifetime remains a key challenge in medicine. While electronic health records provide rich longitudinal data, existing models typically analyze each...
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Congratulations @tigerstatdoc @SumeetKhetarpal @WalterWChen1 @PeggyPHsu and all of the other 2025 @BWFUND CAMS awardees! https://t.co/PuG0WABBJr
bwfund.org
The Burroughs Wellcome Fund is pleased to announce the recipients of the 2025 Career Awards for Medical Scientists (CAMS). This award supports early-career physician-scientists as they transition...
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It’s my most privilege to work with such great mentors @shaan_khurshid, @aklfahed, @patrick_ellinor and brilliant minds @ShinoKany @tigerstatdoc @joeltramo, and many more! Looking forward to the expansion of clinical use cases for proteomic data😀
Check out our new analysis @Circ_Gen led w/ @MinSeoKim_MD on an #ML-based proteomic score to predict future #afib ! Link + highlights below ⬇️ @MGHHeartHealth @broadinstitute @patrick_ellinor @aklfahed
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HUGE congrats to graduating @MGHCVFellows @tigerstatdoc @SumeetKhetarpal, both 🌟 preventive cardiologist-scientists, for receiving @BWFUND Career Awards for Medical Scientists!! We are thrilled that @tigerstatdoc will stay with us @MGHHeartHealth @broadinstitute & also
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📣 The recording of "A Practical Primer on Bayesian Statistics" by @tigerstatdoc is now available: https://t.co/wk5RUk4YJR This talk is part of @broadinstitute's MPG Primer series. For more info, check out https://t.co/QsLDWVrNE5
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The most math equations written on a whiteboard by a clinician I've seen - yet amazingly well delivered to a broad audience! @tigerstatdoc's talk to @broadinstitute @BroadMPG : A Practical Primer on Bayesian Statistics https://t.co/v0K57OIteb We are incredibly lucky to have her
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Delighted to share our study by @tigerstatdoc with @aklfahed on adding in a CAD polygenic risk score to clinical factors to boost CAD risk prediction, particularly for recovering premature CAD events https://t.co/oLRpkE3cNW
@Circ_Gen
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A massive congratulations to Sarah Urbut @tigerstatdoc on a stellar presentation and a well deserved win in an incredible cohort for the ECC GPM Early Career Investigator Award Prize…
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Thrilled to share our latest preprint!📜 A major project I’ve led during my PhD, examining how genetic factors influence weight loss outcomes from GLP1 receptor agonists and bariatric surgery across 9 biobanks and 10,960 individuals. 📷#Genetics #obesity #MedicalResearch
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6/6 🙏to truly amazing team: @mingy63339185 , @shaan_khurshid @somijemmacho @artschuermans @Jakob_German Kodi Taraszka @kparuchuri @aklfahed @patrick_ellinor @l_trinquart @g_parmigiani @SashaGusevPosts @pnatarajanmd @MGHCVFellows @broadinstitute @dfcidatascience
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5/6 Immensely grateful for the support of our amazing team, incredible mentors, and the generous contributions of @uk_biobank participants. 🙌❤️ Read more in @NatureComms here
nature.com
Nature Communications - Coronary artery disease is the leading cause of death among adults worldwide, however current risk stratification methods lack the ability to incorporate new information...
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4/6 Our approach provides a more accurate and personalized prediction for cardiovascular risk, taking into account the dynamic nature of patient health and lifestyle that we hope can lead to better-informed clinical decisions and improved patient outcomes. 🩺
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