Amir is a distinguished biomedical researcher and expert in deep learning for medical imaging analysis. With a Ph.D. in Biomedical Engineering and over 8 years of experience, Amir specializes in developing cutting-edge deep learning solutions for medical data analysis, reconstruction, and processing.

As a Marie Sklodowska-Curie Fellow in the EU, he led innovative research in magnetic resonance spectroscopic imaging analysis, significantly reducing processing time through advanced deep learning algorithms. Amir's work focuses on pushing the boundaries of AI-driven medical imaging to improve patient outcomes and advance the field of biomedical engineering. Amir's contributions to the field are evident through his numerous peer-reviewed publications, conference presentations, and open-source projects. His ability to bridge the gap between complex technical concepts and practical applications makes him a valuable asset in both research and industry settings.

At Synex, Amir brings his wealth of experience in deep learning for MRS quantification, signal processing, and technical leadership to drive forward our mission of revolutionizing predictive healthcare through advanced medical technologies.