Education

2016 – 2020

PhD Computing, Queen's University

• Supervisor: Randy Ellis
• Thesis: Composition of Transformations in Feature-Based Registration

2014 – 2016

Promoted to PhD

MSc Computing, Queen's University

• Supervisor: Randy Ellis

2010 – 2014

GPA: 4.15/4.3

BScH Mathematical Physics, Queen's University

• Received the undergraduate medal in mathematical physics at graduation

Publications

Research Experience

2020/09 – Present

Post-doctoral Fellow, Queen's University

• Conducting research on machine learning and radiomics applied to various clinical datasets and projects
• Helping supervise and guide student research projects

2020/06 – 2020/08

Research Assistant, Queen's University

• Early stage research into application of deep learning to brain tumour detection
• Helping to design patient specific surgical guides for the spine

2016/09 – 2020/04

Graduate Researcher (PhD), Queen's University

• Research on nonrigid point set registration toward doctoral thesis

Selected Projects

• Point Set Registration
  • Developed novel algorithms for point set registration using state-of-the-art statistical methods
  • Implemented custom software using MATLAB, Python/TensorFlow and C++
  • Designed and conducted experiments for validation and testing of robustness
• Cardiac Image Registration
  • Developed a novel method of aligning intraoperative ultrasound and preoperative CT cardiac images
  • Implemented custom software in MATLAB and C++ to do the registration and analysis
  • Helped supervise and oversaw the onboarding of two undergraduate researchers

2014/09 – 2016/08

Graduate Researcher (Master's), Queen's University

• Research on 3D mesh processing and statistical shape modeling toward Master's thesis

Selected Projects

• Preprocessing 3D Mesh Geometry
  • Developed novel meshing algorithms to prepare data for an in-house statistical shape modeling algorithm
  • Implemented custom software in MATLAB and C++ to process 3D data
• Study of Wrist Surgery Planning
  • Oversaw clinician participants as they completed drill plans to be analyzed in the study
  • Conducted preprocessing on data with custom software and novel algorithms

2015/10 – 2016/01

Special Research Student, Nara Institute of Science and Technology

• Research on statistical shape modeling of the liver using then state-of-the-art methods
• Provided a seminar to hosting research group on shape modeling methods

2013/05 – 2013/08

Summer Undergraduate Researcher, Canadian Institute for Theoretical Astrophysics

• Research and software development in Python as part of the LIGO Scientific Collaboration

Teaching Experience

2018 Winter

Teaching Fellow, Queen's University, Discrete Mathematics for Computing I (CISC102)

• Sole instructor of mandatory first year computer science course with over 100 students
• Responsible for lectures, office hours, and all other course materials
• Worked with students requiring special accommodations to ensure all needs were met
• Managed a team of teaching assistants to aid with grading and office hours

2017 Winter

Guest Lecturer, Queen's University, Continuous Coordinate Transformations (CISC881)

• Provided 3 lectures on differential geometry (2017/01/14, 2017/01/16, 2017/03/28)

2016 Fall, 2014 Fall

Teaching Assistant, Queen's University, Discrete Mathematics for Computing I (CISC102)

• Held office hours, graded and proctored tests, edited and suggested problems for exams

2015 Fall

Teaching Assistant, Queen's University, Logic for Computing Science (CISC204)

• Lead group tutorial sessions, graded and proctored tests

Awards and Honours

Conference Presentations