Quantum Computing in Healthcare

A highly-acclaimed Biomedical Engineer, Daniel is a distinguished graduate from CITEDI - IPN, and a recipient of the Cum Laude award. With his thesis centered around hybrid classical-quantum methods for fracture diagnosis, he continues his groundbreaking research as a PhD student focusing on machine learning, deep learning, high-performance computing, quantum computing, and quantum machine learning applied to medical image diagnosis.