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Chief Medical AI Officer, ATARI AI
Chair of Applied Clinical AI, ATARI AI Foundation Director, Khalpey AI Lab
Dr. Zain Khalpey is a robotic heart surgeon and AI leader, directing the Artificial Heart Program in Arizona. He pioneers AI-driven patient care and surgical innovation, with research in organ longevity, robotic surgery, and AI-powered risk prediction leading to multiple patents and global adoption. At ATARI, he transforms AI breakthroughs into real-world medical solutions. A sought-after speaker and Fortune 500 advisor, his book The AI Prescription explores how AI enhances human expertise in medicine.
President, ATARI AI Foundation Director,
ATARI AI Foundation - Academy Co-Director, Khalpey AI Lab
Dr. Amina Khalpey is a plasma physicist whose work sits at the intersection of medicine, engineering, and artificial intelligence. Her early research applied plasma technology to improve the surface properties of artificial cardiac grafts, teaching her a principle that has shaped everything since: the tool must serve the patient, not the other way around.
She holds a PhD in Plasma Physics and an MS in Biomedical Engineering, with research completed at CNRS laboratories in Paris and Montpellier. Her career has spanned leadership roles at MIT, the Whitehead Institute, and Harvard, where she worked across scientific collaboration, intellectual property, humanitarian medicine, and translational research.
Today, she serves as President of the Applied Translational Artificial Intelligence Research Institute, ATARI, and Co-Director of the Khalpey AI Lab, where she leads AI-driven research in cardiac care. Her work focuses on heart-rate variability and waveform technologies for conditions such as sudden cardiac death, atrial fibrillation, and silent hypoxia, guided by a central conviction: artificial intelligence can support medicine, but it must never be allowed to outrun accountability.
Her forthcoming book, The Red Line: What AI Must Never Do in Medicine, took four years to write. It grew out of earlier manuscripts focused on AI’s promise in medicine, but over time the project shifted toward a harder question: not only what AI can do, but what medicine must never allow it to do.
The Red Line is not a rejection of AI in medicine. It is a demand that medicine draw the line before artificial intelligence becomes too embedded, too opaque, and too powerful to challenge.
Chief Executive Officer, ATARI AI
Chair of Clinical Data Science, ATARI AI Foundation Co-Director, Khalpey AI Lab
Nicholas King has built and developed multiple categories including Azure SQL, Google Cloud AI, Android Enterprise, DataRobot. Nick has 20 years experience in enterprise and government Applied AI use cases. He focuses primarily on regulated industries with specific bodies of research in healthcare, oil & gas, supply chain, and decision intelligence.
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