Aiden Van Greuning
Biomedical Engineering Graduate
Biomedical engineering graduate specializing in experimental system design, biomedical signal processing and translational research.
Experience across medical devices, wet-lab experimentation and microscale biomedical systems, with an emphasis on research-driven engineering.
I’m a Biomedical Engineering graduate with hands-on experience across experimental system design, signal processing and applied biomedical research. My work includes developing a low-cost cerebrovascular flow pump for interventional neuroradiology training, alongside experience in wet-lab techniques, computational analysis, microscale biomedical systems and radiation-based medical technologies.
I’m broadly interested in biomedical research and engineering — spanning medical devices, radiation therapy and medical physics, cell and tissue engineering, BioMEMS and molecular-scale technologies — with a focus on translating theory into practical, accessible solutions.
Areas of Interest & Experience
- Biomedical signal processing and data analysis
- Experimental system design and prototyping
- Cell culture and wet-lab techniques
- Radiation therapy, medical imaging and computational dose modeling
- Tissue engineering, BioMEMS and microscale systems
- Research-driven problem solving and collaboration
Selected Projects
Cell Culture & Tissue Engineering Laboratory Portfolio
Conducted structured wet-lab experiments involving live cell culture, microscopy and cellular assays under CL2 biosafety protocols, producing data-driven technical reports.
ECG Signal Processing for Cerebromicrovascular Disease Analysis
Applied signal processing and machine learning techniques to ECG data to extract clinically relevant features and evaluate classification performance in diabetic cerebromicrovascular disease.
Radiation Therapy Simulation & Treatment Planning Concepts
Developed theoretical and computational expertise in radiation therapy through simulation-based labs involving LINAC systems, radiation interactions and dose calculation.
Conceptual BioMEMS Wearable for Habit Relapse Prediction
Conceptualized a wearable BioMEMS system integrating neural and biochemical sensing to explore early prediction of stress-driven habit relapse.
📫 Contact
aiden.vangreuning@torontomu.ca