Summary
Lucas Vercio is a machine learning specialist focused on medical and biological imaging, bringing a decade of experience bridging deep learning research and clinical-grade image analysis. Currently at the Alberta Children’s Hospital Research Institute, he develops automated segmentation, registration, and quantification tools for fluorescence microscopy as part of a large phenomics program, building on prior work in IVUS and carotid ultrasound. He holds a PhD in industrial and computational mathematics and combines strong mathematical rigor with practical software engineering—having led R&D projects and production-grade implementations. An experienced university instructor and mentor, he pairs teaching experience with hands-on programming across Java, SQL and modern ML stacks, enabling him to translate complex research into usable clinical and research software.
11 years of coding experience
14 years of employment as a software developer
Ph. D. in industrial and computational mathematics, Mathematics,, 9.8, Ph. D. in industrial and computational mathematics, Mathematics,, 9.8 at National University of the Center of the Buenos Aires Province
Ingeniero de Sistemas, Computación, Matemática, Gestión, Ingeniero de Sistemas, Computación, Matemática, Gestión at Universidad Nacional del Centro de la Provincia de Buenos Aires
Spanish, English