Research that answers what the public is asking right now.

The public tells us what it needs: through what it searches, posts, and now asks AI. My research listens and responds fast, published where medicine pays attention. The single overarching mission: work that saves lives.

Featured studies
Building AI that saves lives

AI's first job in health: save the life right in front of you.

JAMA Internal Medicine

Every year 350,000 Americans have a cardiac arrest outside a hospital; about 9% survive. We built ChatCPR, an open-source AI coach that out-instructed 911 dispatchers on real emergency calls.

0%of core CPR steps met on real 911 scenarios (dispatchers: 84.5%)
+0 ptsahead of dispatchers on full guideline adherence (P<.001)
0 sectypical wait before compressions on human-led calls
Putting AI to the test for health care

The public took its health questions to AI. We followed.

JAMA Internal Medicine · #1 Most-Read Article in Medicine of the Year

We put real patient questions in front of ChatGPT and real physicians, then had licensed clinicians judge every answer blind. The chatbot's replies won 4 to 1.

0%of blinded evaluations preferred the AI reply
more often rated good or very good quality
more often rated empathetic
Hearing cries for help

America legalized sports betting. Then came the cries for help.

JAMA Internal Medicine · Top 0.05% of all research ( Altmetric)

Sportsbooks spread from 1 state to 38, and annual wagers grew from $4.9 billion to $121.1 billion. We tracked the fallout: Google searches for gambling addiction help are running at record highs.

0%more searches for addiction help than expected, nationally
0Msearches for gambling addiction help since legalization
0%search surge after Pennsylvania opened online sportsbooks
Letting the public correct the record

X let the crowd fact-check vaccines. The crowd got it right.

JAMA · Top 0.1% of all research ( Altmetric)

Everyone complains about medical misinformation. Almost nobody tests a cure. So we studied Community Notes, the corrections volunteers attach to misleading posts, which have to cite their sources.

0%of notes were entirely accurate on expert review
0Mviews on the posts those notes corrected
0%cited high or moderate credibility sources
In the courts

California passed two laws requiring social media platforms to default to censorship. This research served as key evidence that counterspeech already accomplishes what the laws proposed to mandate, so censorship would only displace a working solution. A federal judge struck down both laws in 2025.

PDFMy declaration in Kohls v. Bonta (E.D. Cal.) CN“Federal judge rebukes California laws targeting misinformation”
More selected work