Suchi Saria @suchisaria
AI prof/Endowed Chair @JohnsHopkins, Foundr @BayesianHealth, investor 15+ AI startups, ex-Stanford AI, MIT TR35, Sloan, @wef YGL, @darpa AI safety & Health AI suchisaria.jhu.edu Manhattan, NY Joined May 2010-
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“Improving Coverage in Combined Prediction Sets with Weighted p-values” by @DrewPrinster, @suchisaria, @ChellappaProf, @anqi_liu33, & more proposes a framework for the weighted aggregation of prediction sets w/ weights assigned based on contribution: arxiv.org/abs/2505.11785 (6/7)
Can we ensure AI agents respect our safety constraints, even as they explore & improve? - Medical LLMs that are helpful, & avoid false claims? - Bioscience agents that generate effective molecule designs, & ensure they’re safe? 📄🧵w/ @samuel_stanton_ @clara_fannjiang @jiwoncpark @kchonyc @anqi_liu33 @suchisaria Excited to share “Conformal Policy Control” ⬇️ 1/12
Running a company: 2020: can you survive a pandemic? 2021: still here? we’re going to give all of your competitors $100m series A rounds. 2022: wow, you made it? okay, all engineers cost $600,000/year now. 2023: nice job! okay, SVB failed and we’re going to take away your bank account. 2024: a survivor I see. but can you pivot from ai to crypto to defense tech back to ai-enabled defense tech in a 12 month period to stay relevant? 2025: unfortunately all of your competitors have raised $2b series B rounds. oh and only 500 engineers are relevant and they cost $100m/yr each. 2026: well, well, well. you’re still in business? let’s deploy the thunderclap of godlike LLMs from the heavens so all of your customers can rebuild your app in 2 hours. can you survive?
@ChrisJBakke 😂 😅 also, what Levie said.
As #AI transforms nearly every sector, @suchisaria outlines guiding principles in @NatureMedicine for AI’s use in medical care so that it can truly benefit physicians and patients.
Clinical AI doesn’t need better AUC. It needs better evaluation design. Benchmarks ≠ bedside readiness. Better evaluation will build clinician trust. New perspective in @NatureMedicine w/ @suchisaria & @hmkyale Link: rdcu.be/e0IkI
I’m in Chicago for work and realizing I have extra time open this evening! What should I do? Curious to hear ideas.
Could #AI help predict #sepsis? At 2:30pm join @DrMarcSiegel as he speaks with @suchisaria (AI prof/Endowed Chair @JohnsHopkins & Founder @BayesianHealth) and @withyouDrWu (Professor, director of CHSOR @JohnsHopkinsSPH) about their research. Stream here: sxm.app.link/DoctorRadio
AI monitoring is key to responsible deployment. Our #ICML2025 paper develops approaches for 3 main goals: 1) *Adapting* to mild data shifts 2) *Quickly Detecting* harmful shifts 3) *Diagnosing* cause of degradation 🧵w/ @xinghan0 @anqi_liu33 @suchisaria arxiv.org/abs/2505.04608
🚨With an awesome group of collaborators from health system & federal agencies, @Jean_J_Feng and I are embarking on an ambitious multi-year project to develop tools for monitoring & updating clinical AI algorithms, with the aim of informing how we accelerate & scale responsible AI deployment. More details here jeanfeng.com/joining Looking postdocs, data scientists and senior research fellow applications. Apply! Thanks for RT.
Awesome highlights of the important research being done by @MathiasUnberath and @suchisaria! #ResearchSavesLives
From diagnosing infections with a smartphone to training surgical robots, Johns Hopkins researchers are using AI to create real-world impact. hub.jhu.edu/research-saves…
“For rare disease, the journey is 7 years before diagnosis” - Dr. Janet Woodcock wow.🤯
Hopkins Engineering faculty Rama Chellappa, @suchisaria, and Axel Krieger talk AI healthcare with @ScienceNews!
AI could transform health care, but the stakes are high. sciencenews.org/article/ai-hea…
When do AI explanations actually help, & promote appropriate trust? Spoiler, via prospective, multisite @radiology_rsna study of 220 doctors: *How* AI explains its advice has big impacts on doctors’ diagnostic performance and trust in AI--even if they *don’t realize it*! 🧵1/
@bscholl @boomsupersonic Have been off Twitter so didn’t see this earlier but congrats Blake. Acted off several of our discussions from MARS. That was a good trip!
@NuBrickPartners Thank you on behalf of all I’ve worked with for recognizing our work. Honored to be in great company.
Paper 🧵! w/ @samuel_stanton_ @anqi_liu33 @suchisaria #ICML2024 arxiv.org/abs/2405.06627 We study 2 Qs: 1) Can AI uncertainty quant. via #ConformalPrediction extend to any data distribution? 2) Are there practical CP algorithms for AI/ML agents 🤖w/ feedback-loop data shifts? 1/
Thank you 🙏 cc @DrewPrinster
This is a monumental breakthrough in the realm of Conformal Prediction, akin to discovering another universe in physics! 🔥🔥🔥🔥🔥 A groundbreaking new paper from John Hopkins University and Genentech titled "Conformal Validity Guarantees Exist for Any Data Distribution" by
Had a (positive) “deer-in-the-headlights” moment today when scrolled to these kind & generous words from @predict_addict on our new paper w/ @samuel_stanton_ @anqi_liu33 @suchisaria! 😆arxiv.org/abs/2405.06627 Humbled & grateful to share this work. Full paper summary thread soon!
This is a monumental breakthrough in the realm of Conformal Prediction, akin to discovering another universe in physics! 🔥🔥🔥🔥🔥 A groundbreaking new paper from John Hopkins University and Genentech titled "Conformal Validity Guarantees Exist for Any Data Distribution" by
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