Mary Varghese Presti didn't plan to end up running healthcare AI for one of the most powerful technology companies on earth.

She came to the United States at four years old, the daughter of an Indian nurse recruited by Penn Medicine during India's brain drain era. Growing up in Philadelphia in the shadow of one of the world's top nursing schools, she watched her mother and many of the women in her Indian community use the nursing profession as a vehicle for immigration, education, and female empowerment in a generation where very few professional doors were open to them.

She began her career as a pediatric nurse at Johns Hopkins. On the floors, she saw everything in a single shift: early cases of congenital HIV, double lung transplants in young children, East Baltimore asthmatic exacerbations. And she kept asking the same question over and over again: why is healthcare organized this way?

That single question became a career.

From bedside nursing she moved into consulting, working on harmonizing clinical quality measures across NCQA, NQF, AMA and CMS, foundational work that paved the way for value-based care. She helped shape the policy framework that led to meaningful use and the electronic health record adoption wave. She joined Pfizer at the exact moment Lipitor was losing patent protection, watching 10 billion dollars in revenue evaporate in a single year while the entire pharma commercial model was rewritten around her.

Today she is the Corporate Vice President and Chief Operating Officer of Microsoft's Health & Life Sciences organization, leading at what she calls one of the few generational shifts in technology in her lifetime.

In this episode of Inspiring Women, host Laurie McGraw sits down with Mary to talk about the arc from bedside nursing to Microsoft, from the Manila folder era of medicine to a Stanford pilot where AI agents now compress cancer treatment decisions from weeks and months down to days. They go deep on the AI that hundreds of thousands of physicians are already using today, why nurses describing themselves as "data entry analysts" broke something in her, and what it actually means to build technology that fades into the background instead of getting between a patient and the person caring for them.

They discuss:

- Growing up as the daughter of an immigrant nurse, and what nursing did for female empowerment in her mother's generation in India

- Why she began her career at Johns Hopkins and the moment as a 24-year-old floor nurse that turned her into a systems thinker

- The four-act arc of her career across nursing, policy, pharma and technology, and why every zig and zag felt rational at the time

- Inside Pfizer during the Lipitor patent cliff, when one drug lost 10 billion dollars in revenue in a single year

- Why healthcare still tolerates a digital experience nobody would accept from Uber, Venmo, or online banking

- Dragon Copilot for physicians, and how it removes the keyboard from between doctor and patient

- Dragon Copilot for nurses, and why nursing workflows demand a fundamentally different technology design

- The physical, emotional and cognitive burden that AI is finally lifting off frontline clinicians

- The Stanford multi-agent tumor board experiment compressing cancer treatment decisions from weeks to days

- Why she refuses to be put in a box as clinician, operator, strategist or policy person, and what a lattice career actually looks like

- What she means when she says she expects to remain intrepid for the next five years

If you care about the future of healthcare, the real impact of AI on frontline workers, or what a non-linear career built across nursing, policy, pharma and tech actually looks like, this one is for you.