Nigam Shah, Professor of Medicine; Chief Data Scientist, Stanford University; Stanford Health Care

Nigam Shah is a professor of medicine at Stanford and chief data scientist at Stanford Health Care. Trained as a doctor in India and headed for orthopedic surgery, he switched to computation as the Human Genome Project wound down, and he now tests whether clinical AI still works after a hospital turns it on.

Leaving Orthopedics for Computation

He earned an MBBS from Baroda Medical College in India in 1999 and was on track to become an orthopedic surgeon. "My career path has been a series of 'fortunate accidents'," he said. A family friend urged him toward research just as the Human Genome Project was finishing, and he earned a PhD in molecular medicine from Pennsylvania State University in 2005, building a reasoning engine for molecular biology.

Arriving at Stanford

Hearing that physicians who go into AI all go to Stanford, he arrived as a postdoctoral fellow in 2005 and stayed. In 2010, with the HITECH Act pushing hospitals onto electronic records, he bet that those records would become research data and built a program to make sense of them at scale. The platform he began in 2015 became Atropos Health, one of three companies he co-founded.

Becoming Chief Data Scientist

During the pandemic he used data science to help the health system respond. In 2021 he wrote a two-page vision for data science in a health system, and in 2022 Stanford Health Care created the chief data scientist role for him. He is also professor of biomedical data science and associate dean for research.

His group builds and tests models inside care. With colleagues he built DEPLOYR, a way to run a researcher's model inside the record, including a silent trial that measures performance before anyone acts on the output.

Links

← All people · Featured in Voices of Healthcare: 30 People Changing Health Tech (2026)