Suchi Saria

AI prof/Endowed Chair @JohnsHopkins, Foundr @BayesianHealth, investor 15+ AI startups, ex-Stanford AI, MIT TR35, Sloan, @wef YGL, @darpa AI safety & Health AI

[Suchi Saria @suchisaria]

So incredibly proud.

[Bayesian Health @bayesianhealth]

The opportunity for AI to improve health outcomes is massive. But what’s been missing is rigorous peer-reviewed studies showing AI used in practice. Today we published 3 studies in Nature Medicine that show for the first time ever how AI saves lives.
https://t.co/yHaeFhhFvQ

[Arjun (Raj) Manrai @arjunmanrai]

Fun for @AndrewLBeam and me to get a chance to chat with @suchisaria today for @NEJM_AI Grand Rounds!

[JHU Computer Science @JHUCompSci]

In @HealthcareBrew: “Ultimately, we can only produce outcomes when clinicians trust the system and act on it,” says @bayesianhealth founder @suchisaria. “You can think of the @US_FDA as a very meaningful and critical level for building trust.” https://t.co/MXSMwJXoN3

[Suchi Saria @suchisaria]

Breakfast with some current and former students at ICML — always a great time!

[JHU Malone Center for Engineering in Healthcare @JHUMCEH]

An #AI system developed by John C. Malone Associate Professor of Computer Science @suchisaria detects deadly infections faster than doctors, saving thousands from sepsis—a condition that claims more than 250,000 lives each year in the U.S. https://t.co/aUxwtGrIbV

[JHU Malone Center for Engineering in Healthcare @JHUMCEH]

“Once a clinician already suspects sepsis, the clock has been running—often for hours or even days,” says lead researcher and John C. Malone Associate Professor of Computer Science @suchisaria. “No other cleared test or device monitors for sepsis prior to clinician suspicion.”

[JHU Computer Science @JHUCompSci]

SPOT💡: In “Conformal Policy Control,” @DrewPrinster, @anqi_liu33, @suchisaria, @clara_fannjiang, @jiwoncpark, @kchonyc, & @samuel_stanton_ show how to use any safe reference policy as a probabilistic regulator 4 any optimized but untested policy: https://t.co/zq0ZeesEVA (14/25)

[Drew Prinster @DrewPrinster]

WATCH: Adaptive Monitoring for AI Deployments via Weighted-Conformal Martingales (https://t.co/87S4hjb7rw), w/ @xinghan0, @anqi_liu33, @suchisaria:
- Sat (7/11, Room 318) ICML Workshop on Hypothesis Testing

(3/6)

[JHU Computer Science @JHUCompSci]

“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: https://t.co/8YlYjX5QXJ (6/7)

[Drew Prinster @DrewPrinster]

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

[Suchi Saria @suchisaria]

@gfodor @ChrisJBakke 😂

[Chris Bakke @ChrisJBakke]

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?

[Suchi Saria @suchisaria]

@ChrisJBakke 😂 😅

also, what Levie said.

[JHU Computer Science @JHUCompSci]

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.

[Suchi Saria @suchisaria]

I’m in Chicago for work and realizing I have extra time open this evening! What should I do? Curious to hear ideas.

[Doctor Radio @NYUDocs]

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: https://t.co/vuGRUcZrG6

[Drew Prinster @DrewPrinster]

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

https://t.co/IZ04bMyVl7

[Suchi Saria @suchisaria]

🚨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 https://t.co/W84W7gmfmP Looking postdocs, data scientists and senior research fellow applications. Apply!

Thanks for RT.

[JHU Computer Science @JHUCompSci]

Awesome highlights of the important research being done by @MathiasUnberath and @suchisaria! #ResearchSavesLives

[Suchi Saria @suchisaria]

“For rare disease, the journey is 7 years before diagnosis” - Dr. Janet Woodcock

wow.🤯