Nathan Cahill

Nathan Cahill is an Associate Professor in the School of Mathematical Sciences and Associate Dean for Industrial Partnerships in the College of Science at Rochester Institute of Technology (RIT). He holds a DPhil in Engineering Science from the University of Oxford and is the Director of RIT's PhD Program in Mathematical Modeling. His research focuses on computer vision, machine learning, medical imaging analysis, and mathematical modeling. He directs the Image Computing and Analysis Laboratory (ICAL), which develops mathematical models for imaging analysis and computer vision tasks like registration, segmentation, and classification.

Dr. Cahill has extensive industrial experience, having worked at Eastman Kodak and Carestream Health, earning 26 US patents in computer vision and medical imaging. He teaches advanced courses in numerical analysis, mathematical modeling, and imaging science. His work bridges academia and industry, with collaborations spanning biomedical engineering, neuroscience, and astrophysics. He advises numerous graduate and undergraduate students, many of whom have pursued PhDs or industry roles in tech and healthcare.

His research outputs include influential papers in medical image registration, graph theory applications in social networks, and hyperspectral imaging. He actively contributes to open-source tools for image processing, including MATLAB implementations of segmentation and clustering algorithms. Cahill also holds an Erdős number of 3 and has been recognized for his teaching, offering unique incentives to engage students in applied mathematics and computer science.

Key affiliations include the Center for Imaging Science and the PhD Program in Computing and Information Sciences. His current projects involve machine learning applications in healthcare analytics, pulsar signal analysis, and improving wastewater surveillance during pandemics. He maintains an active lab environment fostering interdisciplinary research with collaborators at institutions like the University of Rochester Medical Center and the Mind Research Network.