Summary
Stylianos Serghiou is a physician-scientist and founder with nine years of experience building clinically rigorous AI systems that translate multimodal health data into actionable care. He has led end-to-end clinical data science and ML infrastructure as VP at Prolaio, turning longitudinal wearable signals into tools for heart failure readmission prevention, and previously contributed to Google Health’s COVID-19 response and vaccine equity tooling. Trained in medicine at Edinburgh and in quantitative methods at Stanford (MS Statistics, PhD in Clinical Epidemiology), he blends clinical credibility with deep expertise in statistics, epidemiology, and reproducible research. He now leads a stealth startup building an AI-native operating system for proactive, family-centered longitudinal care, driven by a focus on transparency, real-world usefulness, and scalability. An early technical leader and educator, he has a track record of shipping data pipelines, mentoring teams, and creating platforms that bridge research and clinical workflows. Notably, his background includes both bench neuroscience work published in Nature Neuroscience and systems-level public health engineering at Google, reflecting unusual breadth across basic science and production ML.
9 years of coding experience
5 years of employment as a software developer
MBChB Medicine, MBChB Medicine at The University of Edinburgh
The G C School
Doctor of Philosophy (Ph.D.) Epidemiology and Clinical Research, Doctor of Philosophy (Ph.D.) Epidemiology and Clinical Research at Stanford University School of Medicine
Master of Science - MS Statistics, Master of Science - MS Statistics at Stanford University
Greek, Greek, English, German