McGeachy, Philip

Medical Physics

Adjunct Assistant Professor

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Biography

Phil completed his BSc in physics in 2011 and PhD in radiation oncology physics in 2015, both at the University of Calgary. He moved to Winnipeg to complete his CAMPEP accredited radiation oncology physics residency through CancerCare Manitoba. He then returned to Calgary in late 2017 to begin working at the Tom Baker Cancer Centre as a medical physicist.

Currently, Phil is an adjunct assistant professor for both the Department of Oncology and Department of Physics and Astronomy at the University of Calgary. He is the co-instructor for the MDPH 623 graduate level medical physics course. He has been involved in teaching at both the graduate and resident level. He is currently overseeing the brachytherapy rotation for the medical physics residents as part of the CAMPEP accredited residency program at the Tom Baker Cancer Centre.

Clinically, Phil is part of the brachytherapy, external beam radiotherapy, and treatment planning physics clusters. He provides clinical service in all three clusters and is currently the lead of the treatment planning physics group. He is a member of the Canadian College of Physicists in Medicine.

In his free time, Phil enjoys exploring the mountains and feeding his golden retriever peanut butter amongst other tasty treats.

Area of Focus

Summary of Research

Dr. McGeachy’s research focus is primarily on the application of optimization theory and artificial intelligence to problems in radiotherapy, with recent emphasis on brachytherapy related problems. Additionally, part of his research has focused on 3D printing, specifically looking at 3D printed bolus applications for external beam radiotherapy. He is currently supervising a PhD graduate student and an MSc graduate student, both in medical physics. Additionally, he has supervised several physics undergraduate students for their fourth-year thesis projects.

Publications:

  1. K Stenhouse, M Roumeliotis, P Ciunkiewicz, R Banerjee, S Yanushkevich, P McGeachy. Development of a Machine Learning Model for Optimal Applicator Selection in High-Dose-Rate Cervical Brachytherapy. Frontiers in Oncology 11, (2021)
  2. DK Sasaki, P McGeachy, JE Alpuche Aviles, B McCurdy, R Koul, A Dubey A modern mold room: Meshing 3D surface scanning, digital design, and 3D printing with bolus fabrication. Journal of Applied Clinical Medical Physics 20(9), 78-85 (2019)
  3. P McGeachy, JE Villarreal-Barajas, Y Zinchenko, R Khan. Modulated photon radiotherapy (XMRT): an algorithm for simultaneous optimization of photon beamlet energy and intensity in external beam radiotherapy (EBRT) planning. Physics in Medicine & Biology 61(4), 1476-1498 (2016)
  4. P McGeachy, J Madamesila, A Beauchamp, R Khan An open-source genetic algorithm for determining optimal seed distributions for low-dose rate prostate brachytherapy. Brachytherapy 14(5), 692-702 (2015)

Area Of Focus

Summary Of Research

Dr. McGeachy’s research focus is primarily on the application of optimization theory and artificial intelligence to problems in radiotherapy, with recent emphasis on brachytherapy related problems. Additionally, part of his research has focused on 3D printing, specifically looking at 3D printed bolus applications for external beam radiotherapy. He is currently supervising a PhD graduate student and an MSc graduate student, both in medical physics. Additionally, he has supervised several physics undergraduate students for their fourth-year thesis projects.

Publications:

  1. K Stenhouse, M Roumeliotis, P Ciunkiewicz, R Banerjee, S Yanushkevich, P McGeachy. Development of a Machine Learning Model for Optimal Applicator Selection in High-Dose-Rate Cervical Brachytherapy. Frontiers in Oncology 11, (2021)
  2. DK Sasaki, P McGeachy, JE Alpuche Aviles, B McCurdy, R Koul, A Dubey A modern mold room: Meshing 3D surface scanning, digital design, and 3D printing with bolus fabrication. Journal of Applied Clinical Medical Physics 20(9), 78-85 (2019)
  3. P McGeachy, JE Villarreal-Barajas, Y Zinchenko, R Khan. Modulated photon radiotherapy (XMRT): an algorithm for simultaneous optimization of photon beamlet energy and intensity in external beam radiotherapy (EBRT) planning. Physics in Medicine & Biology 61(4), 1476-1498 (2016)
  4. P McGeachy, J Madamesila, A Beauchamp, R Khan An open-source genetic algorithm for determining optimal seed distributions for low-dose rate prostate brachytherapy. Brachytherapy 14(5), 692-702 (2015)