Summary
Amil Khanzada is a founder and CEO with 14 years of experience building AI-driven health technologies at the intersection of generative AI, behavioral science, and public policy. He founded Virufy, orchestrating a global volunteer network that produced one of the largest ethically sourced acoustic health datasets (256,000+ PCR-verified samples) and secured a U.S. patent for ensemble machine learning screening of respiratory disease. His work blends hands-on technical leadership—leading a distributed team of 250+ researchers and engineers—with behavioral design that achieved large-scale, privacy-compliant data contribution across 180+ countries. A Berkeley-trained engineer and MBA with AI coursework from Stanford and ongoing doctoral research at University of Fukui, he uniquely pairs academic rigor with operational experience running clinical pilots and government R&D collaborations. Notably, he has operationalized incentives and legal frameworks (GDPR, HIPAA) that turned volunteer motivation into reliable training data at global scale.
14 years of coding experience
MBA / Master of Engineering, Business and Data Science, MBA / Master of Engineering, Business and Data Science at University of California, Berkeley
Doctorate of Engineering, Health AI: From Lab to Real-World Application, Doctorate of Engineering, Health AI: From Lab to Real-World Application at University of Fukui
Non-Degree, Artificial Intelligence, 4.0, Non-Degree, Artificial Intelligence, 4.0 at Stanford University
Japanese, Hindi, Urdu, Spanish