Summary
Mohammad Eslami is an instructor and researcher with over a decade of experience applying machine learning, deep learning, and computer vision to medical imaging across top institutions including Harvard Medical School, Massachusetts Eye and Ear, and Technical University of Munich. He holds a PhD in Telecommunications Engineering and brings a rare blend of academic rigor and practical engineering, having led interdisciplinary projects from automated ophthalmic image analysis to machine-vision systems in industry. Comfortable as both an independent investigator and collaborative lab lead, he has a track record of translating complex multimodal data into clinically relevant solutions. Based in Cambridge, MA, he also combines an unusual creative perspective—evidenced by formal training in film directing—with technical expertise in GenAI for healthcare, which informs his clear communication of research to clinical and nontechnical stakeholders.
10 years of coding experience
3 years of employment as a software developer
Diploma Mathematics and Physics, Diploma Mathematics and Physics at NODET
Doctor of Philosophy (PhD) Telecommunications Engineering, Doctor of Philosophy (PhD) Telecommunications Engineering at Shahid Beheshti University
Bachelor of science Telecommunications Engineering, Bachelor of science Telecommunications Engineering at Ferdowsi University of Mashhad
Certificate Film directing, Certificate Film directing at Association of Young Filmmakers
English, Persian, German