Nathan Cahill
Professor
Nathan Cahill
Professor
Education
BS, MS, Rochester Institute of Technology; D.Phil., University of Oxford (United Kingdom)
Bio
Dr. Cahill is an RIT alumnus, earning BS and MS degrees in Applied Mathematics in 1997 and 2000, respectively. He has significant industrial experience: he started working at Eastman Kodak Company as a co-op student in 1996, and he continued working in the Kodak Research Labs and Carestream Health until 2009, eventually attaining the rank of Principal Scientist. During this period, he was awarded 26 US patents in the fields of computer vision and medical imaging analysis. From 2005-2009, while employed at Kodak/Carestream, he earned a DPhil in Engineering Science at the University of Oxford, where he made key theoretical and computational contributions in the field of medical image registration. Since joining RIT as a faculty member in 2009, he has continued to do research in the areas of computer vision and medical imaging analysis, as well as expanding into the areas of data-enabled modeling, computational modeling, and machine learning theory. He has been the Director of RIT's PhD Program in Mathematical Modeling since 2019.
Select Scholarship
Currently Teaching
In the News
-
June 26, 2024
Student completes project with international company through RIT’s global connections
Reagan Brenneman ’24 (applied mathematics) had the opportunity to combine her multiple areas of study into an international experience working for the company Saponia in Croatia.
-
December 6, 2021
RIT scientists develop machine learning techniques to shed new light on pulsars
New machine learning techniques developed by scientists at Rochester Institute of Technology are revealing important information about how pulsars—rapidly rotating neutron stars—behave. In a new study published by Monthly Notices of the Royal Astronomical Society, the researchers outlined their new techniques and how they applied to study Vela, the brightest radio pulsar in the sky.
-
October 14, 2021
Mathematical modeling Ph.D. student earns FDA fellowship
Kimberly Dautel, a mathematical modeling Ph.D. student, is undertaking COVID-19 modeling research thanks to a fellowship from the U.S. Food and Drug Administration’s Center for Devices and Radiological Health.