Projects

1. Dosimetric Comparison of 6X and 10X Flattening Filter-Free Photon Beams on a TrueBeam Linac Using the Eclipse TPS Thesis Report

2. Evaluation of Ethos 2.0 High-Fidelity Mode for Multi-Met, Single-Isocenter Stereotactic Radiotherapy: A Semi-Automated Comparative Analysis

3. Assessing Efficacy of Multiple, State Of The Art, Deep Learning Models in Abdominal Organ Auto-Segmentation. https://doi.org/10.1016/j.intonc.2025.03.003 

4. Modelling factors affecting lap time simulations of formula one cars using ordinary differential equations. Project completed - December 2022. Summative Paper. 

5. Using deep learning and computer vision models to develop effective driving agents in open world simulation Summative Paper 

6. Modelling Genomic Linear quadratic radiation doses using Deep learning and Machine Learning techniques

7. 3D abdominal multi organ segmentation using Deep learning and computer vision techniques.

8. Development of Machine Learning Models using optical brain measurements to predict in vivo hemoglobin oxygenation - Project completed December 2022

9. "The quantitative analysis of gel electrophoresis on a smartphone" - Projected completed July 2021.

10. Development of a Computer vision based application to improve accuracy in surgical chronic kidney disease models, Projected completed in September 2023. medium article 

11. "The Connection between Nutrition and Alzheimer's Disease" - Project completed and published in October 2020, https://onlinelibrary.wiley.com/doi/10.1002/mnfr.202000632

Presentations

• Oral contributor, Canadian Association of Physicists, Virtual 2021 (The quantitative analysis of gel electrophoresis on a smartphone)

• Oral contributor, Canadian Association of Physicists, Hamilton, ON, 2022 (An augmented Reality setup to improve accuracy in chronic kidney disease mice models)

• Oral contributor, Canadian Undergraduate Medical Physics Conference, 2022, Guelph, ON (Abdominal Multi-Organ Segmentation using Deep learning to enable enhanced workflows for LMIC)

• Oral Contributor, Physics Undergraduate Conference, London, ON, 2023 (Abdominal Multi-Organ Segmentation using Deep learning to enable enhanced workflows for LMIC)

• Interactive E-Poster session presentation, American Association of Physicists in Medicine conference, Houston, TX, 2023 (Assessing efficacy of deep learning-based auto-contouring for abdominal normal tissues)

• Overall Winner, Best Talk, Canadian Undergraduate Physics Conference, Waterloo, ON, 2023 (Optimizing Dose Delivery During Fractionated Radiotherapy)

• Oral Contributor, Canadian Organization of Medical Physicists Annual Scientific Meeting, Regina, SK, 2024 (Evaluation of Ethos 2.0 High-Fidelity Mode for Multi-Met, single-isocenter stereotactic radiotherapy: A semi-automated comparative analysis)

• Invited Speaker, Canadian Organization of Medical Physicists Annual Scientific Meeting, Regina, SK, 2024 (Improving TG-263 target name compliance using locally-hosted large language models)

• Poster session presentation, American Association of Physicists in Medicine conference, Los Angeles, CA, 2024  (Evaluation of Ethos 2.0 High-Fidelity Mode for Multi-Met, Single-Isocenter Stereotactic Radiotherapy: A Semi-Automated Comparative Analysis)

• Poster session presentation, American Association of Physicists in Medicine conference, Los Angeles, CA, 2024  (Head-to-Head Comparison of State-of-the-Art AutoML Segmentation Frameworks Using Publicly Available Data)

• Blue Ribbon Poster, American Association of Physicists in Medicine conference, Washington D.C, 2025 (Improving TG-263 target name compliance using locally-hosted Large Language Models )