Undergraduate foundation

Biomedical Engineering

My interdisciplinary training at the University of Waterloo built the engineering, computational, and biomedical foundation for my current research.

University of Waterloo · Class of 2025

BASc in Biomedical Engineering

An interdisciplinary foundation

Biomedical Engineering taught me to approach human health through multiple lenses: physiology, mathematics, computation, electronics, mechanics, and design. This foundation allows me to translate clinical and biological questions into problems that can be investigated quantitatively.

Waterloo’s project-based and co-operative education environment also gave me opportunities to apply this knowledge across medical research, machine learning, image processing, software engineering, and data science.

Core strengths

  • Interdisciplinary problem-solvingConnecting engineering, computation, and neuroscience.
  • Quantitative researchTurning complex datasets into reproducible evidence.
  • Technical adaptabilityLearning new methods and tools across research domains.
  • Collaborative developmentBuilding and communicating within multidisciplinary teams.

Relevant coursework

Academic Foundations

Core subject areas from my undergraduate Biomedical Engineering training.

Biomedical Signals & Systems

Signal processing, physiological signals, systems modelling, and quantitative analysis.

Medical Imaging

Imaging principles, image processing, computer vision, and biomedical data interpretation.

Physiology & Neuroscience

Human physiology, anatomy, neural systems, and the biological basis of health and disease.

Biomechanics & Design

Mechanics, biomaterials, device design, prototyping, and human-centred engineering.

Machine Learning & Statistics

Statistical modelling, data science, pattern recognition, and predictive machine learning.

Software & Algorithms

Data structures, algorithms, object-oriented programming, and software development.

Technical foundation

Coding & Engineering Skills

Tools I developed through coursework, research, co-op placements, and personal projects.

Programming Languages

Python, Java, C#, C++, HTML, CSS, SQL, SPL, TypeScript, MATLAB, Simulink

Data & Machine Learning

PyTorch, NumPy, pandas, Xarray, TensorFlow, Keras, scikit-learn, OpenCV, OpenAI, Cohere

Engineering & Development

SolidWorks, Figma, Android Studio, Unity, Jenkins, Splunk, Kubernetes, AWS