Medical Physics Residency Program
The two-year medical physics residency program is tailored to allow residents to achieve competence in all areas of medical physics practice. Through a combination of didactic and experiential learning, residents obtain the skills required to become qualified medical physicists. The program is accredited by CAMPEP, the Commission on the Accreditation of Medical Physics Education Programs, and is administered by the University of Toronto Department of Radiation Oncology.
Rotations
Year 1 (Y1) and Year 2 (Y2):
- Instrumentation and Machine QA
- Radiation Safety
- Radiation Biology
- Site-based Treatment Planning
- Quality Management
- Imaging
- Interdisciplinary Rotation
Year 2Y2:
- Brachytherapy
- Specialized Machines
- Chart Checking
The Sunnybrook Advantage
The Odette Cancer Centre at Sunnybrook Health Sciences Centre houses one of the largest radiation medicine programs in North America. Our large, academic, fast-paced program treats over 8,000 new patients annually.
- Residents are fully integrated into the clinic, learning ‘on-the-job’ and taking on clinical responsibilities
- Our department is a leader in transitioning to MR-based radiotherapy
- Many of our medical physics faculty are leaders within COMP, AAPM, and provincial cancer organizations
- Residents are encouraged to develop their leadership and communication skills by engaging in COMP, AAPM, and CARO activities
- Medical physics faculty are actively engaged in mentorship and teaching of residents
Prospective residents who want to make an impact on the field and invent the future of healthcare, please contact our local Residency Program Director, Dr. Brian Keller, PhD., DABR, FCCPM. Brian.keller@sunnybrook.ca
Current Residents

Name: Lingyue Sun
Start date: September 2022
PhD : Radiation Oncology Physics at the University of Calgary
PhD Thesis : Focused on using machine learning to predict tumor control outcome for prostate cancer external beam radiotherapy patients.
Current projects : Dr Sun is working on the clinical development project is on assessing the accuracy of the 3D vane MRI sequences for motion reconstruction on the MRL.
Outside of work : enjoys doing puzzles, painting, and trying out new recipes.

Nathan Orlando
Start Date: September 2022
PhD: Medical Biophysics at Western University,
PhD Thesis: His research focused on the development of deep learning and ultrasound image guidance techniques to improve prostate brachytherapy.
Current projects:
Outside of work: Originally from Edmonton, Alberta, Nathan enjoys playing hockey and tennis in his free time.

Kaiming Guo, Ph.D.
Kaiming Guo is currently a Medical Physics Resident in the Department of Radiation Oncology at the University of Toronto, and received his Ph.D and B.Sc in Physics from the University of Manitoba, Winnipeg, MB, Canada. His doctoral research involved developing a hybrid method to estimate patient scattering from therapeutic x-ray beams as a part of 3D EPID-based in vivo dosimetry research. His undergraduate Honours thesis project was on “Tracking of patient-based tumor motions using optical flow with drift correction methods”. His research interests are mechanical designs, machine learning, neural networks, and x-ray transport with Monte Carlo simulation.

Chris Dydula, Ph.D.
Chris completed his PhD in medical physics at Carleton University in Ottawa, ON, where he worked on the development of x-ray coherent scatter imaging systems. He was subsequently a Postdoctoral Fellow at Ryerson University, modelling the energy response of cadmium-zinc-telluride photon-counting detectors and investigating methods to compensate for spectral distortions. He is interested in applying novel imaging techniques in the clinic for adaptive radiotherapy. He enjoys travelling, playing badminton and hiking.

Allan Hupman, Ph.D.
Allan is a first-year medical physics resident at Sunnybrook (Odette Cancer Centre). He grew up in Lockeport, Nova Scotia, and completed his PhD at Dalhousie University in Halifax, NS. His research interests include radiation detection and brachytherapy. Besides medical physics, he enjoys running, playing soccer, hiking, and reading.
Alumni
Graduates from our residency program have been able to successfully find employment all over North America. Here is a list of our program’s alumni
Name |
Year Graduated |
---|---|
Priscilla Dreyer |
2022 |
Humza Nusrat |
2021 |
Viktor Iakovenko |
2020 |
Lee MacDonald |
2020 |
Syed Bilal Ahmad |
2018 |
Alyaa Elzibak |
2017 |
Ekaterina Tchistiakova |
2017 |
Shahram Mashouf |
2017 |
Cindy Tam |
2016 |
Moti Paudel |
2015 |
Marcus Sonier |
2014 |
Niranjan Venugopal |
2013 |
Jenna King |
2013 |
Anthony Kim |
2012 |
Ananth Ravi |
2011 |
Huan Yu |
2011 |
Matt Wronski |
2011 |
Alex Karotki |
2009 |
Rick Holly |
2008 |
Beibei Zhang |
2005 |
Collins Yeboah |
2004 |
Michelle Nielsen |
2004 |
Matthew Skinner |
2003 |
David Beachey |
2000 |
Marianne Aznar |
2000 |
Geordi Pang |
1998 |
Katharina Sixel |
1996 |
Admissions
Please visit the UTDRO webpage for application information at the following link https://radonc.utoronto.ca/medical-physics-residency.
For any questions related to admissions, courses, or CAMPEP eligibility, please contact the UTDRO Residency Program Registrar.
Projects
Residents participate in a research project as part of their residency completion requirements. Sunnybrook residents usually participate in several highly impactful clinical projects that improve patient care. Currently, there are clinical projects available in the areas listed below.
- MR-guided RT
- Brachytherapy
- Adaptive RT
- Machine learning/AI
- SRS/SBRT
- Functional imaging
- Detectors and radiation measurement
- Virtual reality in radiotherapy
Sample Resident Publications
- Lee MacDonald et al. Real-time infrared motion tracking analysis for patients treated with gated frameless image guided stereotactic radiosurgery. Int J Radiat Oncol Biol Phys 106(2), 413-421, 2020.
- Viktor Iakovenko et al. Experimental measurement of ionization chamber angular response and associated magnetic field correction factors in MR-linac. Med Phys 47(4), 1940-1948, 2020.
- Moti Paudel et al. Experimental evaluation of a GPU-based Monte Carlo dose calculation algorithm in the Monaco treatment planning system. J Appl Clin Med Phys 17(6), 230-241, 2016.
- Marcus Sonier et al. Implementation of a volumetric modulated arc therapy treatment planning solution for kidney and adrenal stereotactic body radiation therapy. Med Dos 41(4), 323-328, 2016.
- Ananth Ravi et al. A comparison of post-implant dosimetry for Pd-103 versus Cs-131 seeds on a retrospective series of permanent breast seed implant patients. Med Phys 38(11), 6046-52, 2011.
Contact
Local Residency Program Director: Brian Keller, PhD, DABR, FCCPM
Brian.keller@sunnybrook.ca