Summary
Elias Nehme is a Ph.D. candidate in Electrical Engineering at Technion specializing in computational imaging and machine learning, applying computational microscopy to tackle fundamental biological questions. With eight years of experience spanning academic research, industry internships at Verily, and applied roles in medical imaging startups, he bridges rigorous theory and real-world healthcare applications. His work includes collaborations with Google Machine Perception and Verily, and he teaches advanced courses in optical imaging, computer vision, and statistical image processing. He has built production-oriented deep learning systems for colonoscopy and dental imaging and modeled genetic circuits using signal-processing tools, demonstrating fluency across scales from biological modeling to clinical computer vision. Based in Haifa, Elias combines a strong academic track record with hands-on engineering that moves ideas from lab prototypes toward clinical impact. An often-overlooked strength is his experience coordinating multidisciplinary teams and clinical trials, which complements his technical depth.
8 years of coding experience
2 years of employment as a software developer
Ph.D. Candidate (Direct track), Electrical and Computer Engineering, Ph.D. Candidate (Direct track), Electrical and Computer Engineering at Technion - Israel Institute of Technology
Arabic, Hebrew, English