Hello! I'm a third year Systems Design Engineering student at the University of Waterloo. Human computer interaction, system analysis and product innovation are all aspects of engineering design that excite me. I fully understand team dynamics in supporting projects and have experience in collaborative development within diverse organizations. I am greatly inspired by the field of biotechnology; making a positive impact on the health of individuals is at the top of my priority list. I hope to achieve this by solving challenging problems and delivering effective products to users.
Intellijoint’s flagship product, intellijoint HIP, provides surgeons with real-time, intraoperative measurements to ensure proper positioning of orthopaedic implants during Total Hip Arthroplasty. During my co-op term, I held a role as a Medical Device Software Developer on the Research and Development team.
This role encompassed several activities including developing features on a prototype application for Knee Replacement Surgery, as well as developing software prototypes containing features that will further develop intellijoint HIP’s traction in the market. I gained extensive knowledge about robot dynamics and control, and was able to develop my UI/UX skills while designing interfaces for orthopedic surgeons.
SickKids is one of the first institutions to adopt the technique of using cerebrovascular reactivity (CVR) as an indicator of perfusion reserve in children with cerebral vasculopathy and stroke. It is possible to locate the brain areas of reduced or negative reactivity based on the blood oxygenation level dependent (BOLD) signal in response to a vasodilatory stimulus.
The main goal of this project was to design a graphical user interface that integrated with a pipeline to analyze the blood flow through each voxel of the brain. Throughout this role I gained skills in 4D image analysis and recognized the importance of providing surgeons with confidence in diagnostic data. The end result is a user-friendly interface that clinicians can use to view maps of the brain and inform patient management decisions.
At Synaptive Medical I worked on a research and development project that involved identifying the requirements for a fluorescence imaging system to be used for intraoperative tumour delineation and perfusion diagnostics.
Through executing experiments in a laboratory setting using brain phantoms, it was possible to characterize system specifications for several fluorophores while considering tissue absorption as well as the emission filters, excitation filters and camera settings required to achieve tissue fluorescence. To complete this project, data was gathered from surgeons to determine their illumination preferences for optimal tissue contrast during surgical operation. This led to the development of an image processing algorithm to enhance surgical images based on tissue characteristics.
To further my knowledge and interest of the brain, I designed an EEG circuit to detect, measure, and distinguish between brain waves. My ultimate goal is to develop and prototype ideas that will assist with stroke rehabilitation. To accomplish this, I am currently studying functional brain mapping and testing the circuit out on willing volunteers.
This project involved sourcing necessary circuit components, obtaining electrodes for capturing the brain waves, and designing adequate electronic filters for signal extraction. Next steps include working with the Processing language to build applications where individuals can visualize biofeedback and control physical objects using their brain waves. I would also like to create a headset for the electrodes for improved signal to noise ratio.