Bayesian develops clinical AI agents for inpatient care. Our platform detects conditions like sepsis and other types of deterioration using multimodal models, then enables clinicians to respond quickly within the EHR. I lead all new module development.

A product studio I run on the side. Our latest product is Wordlike, which was the #4 paid word game on the App Store and #1 on the Play Store.

YC S23.

Don't die of a heart attack. Start with lab testing of 85+ biomarkers, then build a personalized action plan using your results and data from your Apple Watch, Fitbit, Samsung, and Pixel.

I own features end-to-end. I write the PRD, design the UI, build it, launch the growth marketing campaign, analyze the funnel, and repeat.

Led several core features:

• Health Radar: a composite health score using 40+ biomarkers, USPSTF guidelines, and several gold-standard clinical formulas

• AI-augmented care plans based on a patient’s diagnoses, symptoms, and health goals.

• Customizable exercise program for POTS patients, built on the clinically-validated Levine Protocol. Integrated with watchOS custom workouts.

• Interactive watchOS 11 widget to log nutrition from your wrist

• Export data to PDF to share with a doctor

Joined via acquisition of Cardiogram.

Highlights

• Promoted 3x from Business Development Manager to Chief Product Officer

• Drove over 10x revenue growth to $XM

• Closed our first B2B deals, including six-figure contracts with major health insurers and self-insured employers like Aetna and Progressive

• Closed our partnership with Fossil, which led to Cardiogram coming pre-installed on every Fossil smartwatch in the world

• Designed, launched, and ran successful health economics study with Aetna to prove clinical and financial value of DeepHeart, our AI used to detect undiagnosed chronic disease using wearable biomarkers

• Completed 50+ user interviews and discovered several core use-cases: managing Postural Orthostatic Tachycardia Syndrome (POTS), paroxysmal atrial fibrillation, and cardiac rehab.

• Ran consumer app growth via ASO (keyword optimization, screenshots, in-app events, App Store features), and SEO.

• Led acquisition pitches

Cardiogram is an a16z-backed mobile health app (iOS/Android) built on consumer wearables like Apple Watch, Fitbit, and Garmin. It was one of the first companies that showed how applying machine learning to wearable data can help detect chronic disease—like atrial fibrillation and sleep apnea—with published research in JAMA Cardiology and other leading journals.