I'm a medical physicist. I build AI agents that plan radiation treatment, and I check their work.
Henry Ford Cancer, Detroit · Assistant Professor, Michigan State University
Pick a number of beams. Each beam is weak. Only where they cross is the dose high. That is how radiotherapy spares healthy tissue.
Beams
Radiotherapy is full of systems that are powerful, fragile and deeply human. I try to make them safer without removing the judgment.
I'm a board-certified medical physicist at Henry Ford Health, where I work in MR-guided adaptive therapy and radiosurgery, and an assistant professor at Michigan State University. Before that I was a staff physicist at Sunnybrook in Toronto. My PhD was in radiation dosimetry and detector development. Today most of my research asks a narrow question: when an AI agent makes a treatment plan, which of its failures need a better model, and which can be fixed with a clearer interface or a plain check?
Language-model agents that operate the Eclipse planning system: they adjust objectives, read the recalculated dose, and try again, with a physicist reviewing every plan. Tested on prostate and on 41 radiosurgery cases.
Simulators that let trainees practise linac safety and HDR prostate brachytherapy before they do it for real.
MR-linacs image the patient while treating, but the magnet changes how dose detectors respond. We built an MR-compatible water calorimeter and measured absorbed dose in an MR-linac directly.
FLASH delivers a full dose in under a second, which may spare healthy tissue but overwhelms most detectors. I worked on ultra-high dose-rate electron beams and scintillating detectors that can keep up.
Scientific Reports. First author.
Medical Physics 53(9), e70654. First author.
Brachytherapy 25(5), 728–735. Senior author.
Medical Physics 47(12), 6458–6469. Second author. Sylvia Fedoruk Prize.
Medical Physics 46(9), 4215–4223. First author.
Chapter 7 in Recent Advancements and Applications in Dosimetry, ed. Maria F. Chan. Nova Science Publishers. First author.
Free reference and teaching tools for people who work in radiation oncology.
150+ normal-tissue dose limits from QUANTEC, HyTEC, PENTEC and UK SABR, with BED and EQD2 converted for you.
SBRT and SRS protocols for lung, brain, spine, prostate and liver in one place.
Hands-on lessons for clinicians learning to use language models safely.
Why stepping back from a source cuts your dose so quickly, shown with moving particles.
Which websites block AI? A tracker that checks every day how sites treat AI crawlers, search bots and assistants, and shows the answer in plain words.
Language models debate each other, switch sides, and are scored by a panel of judges. The demo is on a free server and can take a minute to wake up.
Department of Radiology, College of Human Medicine
MR-guided adaptive therapy and radiosurgery.
IMRT QA and reference dosimetry lead.
CAMPEP-accredited.
Radiation dosimetry and detector development.
Henry Ford Health, for the SAGE radiosurgery research.
American Association of Physicists in Medicine, for virtual and augmented reality research.
Best paper in Canadian medical physics, for MR-linac water calorimetry.
Best student paper, Canadian Radiation Protection Association.
Toronto Metropolitan University.
Awarded to 20 of more than 7,000 applicants across Canada.
I’m glad to hear from anyone building careful tools for cancer care, or anyone who wants to test them.