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About
My journey began in the field as an Army medic and Registered Nurse, experiences that taught me what patients truly need. Today, I channel that frontline wisdom into building AI tools that help nurses and doctors make better decisions, faster.
As a Fulbright Fellow at UPenn and one of the first nurse scientists to complete a postdoc at Harvard Medical School, I've bridged the gap between clinical practice and cutting-edge technology.
Now at Columbia University and VNS Health, I lead a team developing AI that predicts which patients need help before a crisis happens, especially in home healthcare, where early intervention saves lives.
Latest Insights
View allJanuary 2025
I'm an associate editor at one of the top medical informatics journals. Last month, I sent 52 emails asking professors to review a scientific paper. Three said yes. That 6% response rate? That's the sound of scientific quality control breaking.
484 likes · 86 comments
January 2025
There's a career trajectory my mentors taught me years ago. Stage 1: Hustle and survive. Stage 2: Lead and thrive. Stage 3: Become the grumpy professor. 47 papers this year. 200 publications and 6,000 citations. The most productive year of my career wasn't about me working harder. It was about finally getting out of the way.
263 likes · 54 comments
November 2024
I want the AI bubble to burst. Not because I'm anti-AI. Because I care about patients. 90%+ of corporate AI pilots fail to deliver ROI. 80% of healthcare AI projects never escape pilot purgatory. Healthcare AI needs the same correction the dot-com crash gave the internet.
172 likes · 38 comments
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Research Focus
AI-Powered Clinical Decisions
Intelligent systems that analyze patient data and clinical notes to surface critical insights.
Predicting Patient Risk
Machine learning models that identify patients heading toward hospitalization or decline.
Home Healthcare Innovation
Tools that help visiting nurses prioritize their caseloads and catch problems early.
Fair & Unbiased AI
Rigorously testing AI tools across diverse patient populations to eliminate hidden biases.
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Keynotes and workshops on AI in healthcare, delivered to audiences worldwide.