Decoding health in the age of AI
Hosted by an AI researcher and a medical doctor, this podcast unpacks how artificial intelligence and emerging technologies are transforming how we understand, measure, and care for our bodies and minds.
Each episode unpacks a real-world topic to ask not just what’s new, but what’s true—and what’s at stake as healthcare becomes increasingly data-driven.
If you're curious about how health tech really works—and what it means for your body, your choices, and your future—this podcast is for you.
We’re here to explore ideas—not to diagnose or treat. This podcast doesn’t provide medical advice.
Laura Hagopian is a physician leader who’s seen it all: from the adrenaline of the Emergency Department to the high-stakes world of health tech innovation. She brings a healthy dose of clinical skepticism (and a lot of optimism) to the conversation about AI in medicine. A board-certified ER physician at heart, Laura is obsessed with bridge-building: between humans and machines, bedside care and big data, and the intricate patterns she creates in her watercolor art.
Vasanth Sarathy is a Principal Research Scientist at Leidos working on the internal machinery of AI systems, i.e., the representations, memory structures, and reasoning processes that give advanced models a stable understanding and make them reliable partners to human decision-makers.
He focuses on the core problems that limit today’s AI in mission-critical settings: brittle assumptions, shallow representations, opaque reasoning, and a lack of persistent, inspectable memory. His work explores structured meaning representations, belief and assumption tracking, neurosymbolic memory, and interpretable decision pipelines so that AI systems can maintain coherent internal state, reason about people and goals, and explain why they did what they did.