BS, MS, Rochester Institute of Technology; D.Phil., University of Oxford (United Kingdom)
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 area of machine learning theory. He has been the Director of RIT's PhD Program in Mathematical Modeling since 2019.
In the News
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.