Cardiologist and scientist @MGHHearthealth @harvardmed fascinated by statistics, genomics @broadinstitute, and exploring the world on two wheels.

Joined August 2013
2 Photos and videos
Sarah Urbut retweeted
Kick off the PQG Working Group Seminar Series with Dr. Urbut's fascinating research! Join us next Tuesday (Mar 24)!
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Sarah Urbut retweeted
Our most comprehensive global #statistics #epidemiology update with 700 pages on #CV, #metabolic, #kidney, #brain dz @Circ_AHA Most disorders have shared #riskfactors that are preventable and treatable! Want to know the stats on each?? ahajournals.org/doi/epdf/10.…
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Sarah Urbut retweeted
10 Nov 2025
When Bayesian statistics meets cardiology @tigerstatdoc @MGHHeartHealth #AHA25
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Sarah Urbut retweeted
The Khetarpal lab at UVA is seeking a research associate (postdoc)! Please see the posting and reach out with any questions! jobs.virginia.edu/us/en/job/…

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Sarah Urbut retweeted
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 evidence.nejm.org/doi/full/1… @NEJMEvidence While clinical trials of LDL-C-lowering medicines have shown improvement in CAD risk, they generally don't reflect the breadth of patients we evaluate for such medicines. Subgroup analyses in trials to assess for differences are generally very underpowered as they are not the main intention of trials. The world's human genetic data is (1) larger and covers many more communities and geographies than clinical trials, and (2) can enable causal inference methodologies across these groups. We assembled data across the US, Europe, Middle East, and South Asia to examine this relationship across individuals of African, admixed American, East Asian, European, Middle Eastern, and South Asian ancestry. Adjusting for variability in allele frequencies and performance, harmonized the same LDL-C effect, we observed (1) a significant positive association with CAD and (2) heterogeneity in this association. While this is not a substitute for clinical trials reflecting the breadth of patients we see, the results (1) provide reassurance regarding current clinical practice extrapolating existing trials of LDL-C-lowering therapies, (2) the relationship between LDL-C and CAD appears generally robust across communities & solidifies this as a core pathway for CAD risk reduction, and (3) indicates that investment in adequately powered LDL-C-lowering therapy trials in other communities is likely to yield favorable returns. Many thanks to the team! @skoyamamd @HornsbyWhitney @gina_peloso @aklfahed @wallacemwang & others
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Sarah Urbut retweeted
Enjoyed reading this paper on how to jointly model genetics and longitudinal health records medrxiv.org/content/10.1101/…
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/content/10.1101/…
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Sarah Urbut retweeted
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. medrxiv.org/content/10.1101/…
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Sarah Urbut retweeted
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. medrxiv.org/content/10.1101/…
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Follow the math, follow the pt with associated app at aladynoulli.hms.harvard.edu. 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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Sarah Urbut retweeted
18 Jun 2025
Announcing the 2025 Career Awards for Medical Scientists buff.ly/ckIDVde #bwfcams
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Sarah Urbut retweeted
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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Sarah Urbut retweeted
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 delighted that @SumeetKhetarpal will undoubtedly flourish @CardioUva!
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Sarah Urbut retweeted
6 May 2025
📣 The recording of "A Practical Primer on Bayesian Statistics" by @tigerstatdoc is now available: youtube.com/watch?v=jcFSukA_… This talk is part of @broadinstitute's MPG Primer series. For more info, check out broad.io/MPGPrimer
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Sarah Urbut retweeted
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 youtube.com/watch?v=jcFSukA_… We are incredibly lucky to have her join us @MGHHeartHealth @harvardmed after @MGHCVFellows this summer.
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Sarah Urbut retweeted
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 ahajournals.org/doi/10.1161/… @Circ_Gen
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Sarah Urbut retweeted
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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Sarah Urbut retweeted
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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