I am a Professor of Obstetrics and Gynecology and a Maternal-Fetal Medicine specialist at Weill Cornell Medicine in New York, where I have practiced and taught for more than five decades. I am also a Senior Ethics Consultant, with a long-standing focus on preventive ethics — having the hard conversations before the emergency, not during it.
My clinical work has centered on high-risk pregnancy, and my academic work on the systems and structures that shape how obstetric care is delivered at the population level. I trained at a time when the discipline was still being defined, and I have watched it evolve — not always in the right direction.
My research uses the CDC natality database to examine birth outcomes at the population level, with a particular focus on labor induction trends, cesarean rates, and the gap between clinical guidelines and real-world outcomes. I have published in AJOG, NEJM, and other major journals, and I review manuscripts for each.
I was among the first to publish on large language models in obstetrics. That work reflects a broader conviction: AI does not replace clinical judgment, but it changes what clinical judgment is for. Physicians who understand this will serve their patients better than those who do not.
ObGyn Intelligence on Substack is where I write without the constraints of peer review formatting. Evidence-based, direct, and written for both clinicians and patients who want the same information their doctors see.
The publication covers guideline critique, trial translation, data deep dives, medical ethics, historical perspective, patient safety reform, AI in medicine, and health equity. The tagline is not a slogan. It is a clinical principle: know your numbers, trust your body.
I also maintain an interactive tools hub at tools.obmd.com with more than twenty clinical calculators and decision support tools for obstetrics and gynecology, available free to clinicians and patients.