Mississauga, Ontario, Canada
I am a biomedical engineering graduate, from the University of Guelph, with multiple publications, passionate about medical imaging, optical systems, signal processing, microsystems, and electromagnetics. My work at SickKids was focused in magnetoencephalography (MEG) research, specifically in the development of a MEG using optically pumped magnetometers (OPM) sensors. My masters and undergraduate research encompasses lab-on-a-chip technology with fluorescence spectroscopy and optical lock-in detection to improve a previously developed Antibiotic Detection System in Milk.
• Facilitated setup and installation of novel wearable 80-channel OPM-MEG system to monitor neurophysiological magnetic activity in human brains beginning from early infancy • Oversaw operations in cryogenic and OPM-MEG systems while maintaining strong relationship with clinical team to ensure smooth functioning of shared system • Analyzing neurophysiological cryogenic and OPM-MEG data in MATLAB (FieldTrip) using time and frequency domain methods (i.e. beamforming, evoked responses, time-frequency spectra, connectivity, power) • Maintaining Windows and Linux based data storage infrastructure (i.e. NAS)
• Coordinated online tutorials teaching full design process from problem definition to design evaluations • Navigated third year students to further develop crucial engineering design skills (ie. Conflict Resolution, Communication, Problem Definition, Technical Memo, Design Evaluations) • Developed students’ technical writing skills through production of engineering design reports and technical memos • Navigated full course delivery through online platforms (Zooms, Microsoft Teams) during COVID-19
• Enhanced microfluidic fluorescence biosensor SNR by over 16,000 times, using frequency lock-in detection • Integrated high voltage (<500 V) microchip capillary electrophoresis with optical lock-in detection after designing photodiode circuitry to detect AC optical signals • Performed an iterative simulation to visually model spatial voltage and electric field distribution in MATLAB, and developed a thorough understanding of electromagnetics • Performed a simulation of lock-in amplification experiments using Simulink modelling • Gained basic machine learning knowledge by developing algorithms in Python (ie. Decision Trees, Perceptron, Linear Models, Probabilistic Models, Neural Networks, K-Means Clustering). • Python toolboxes: Scikit-Learn, SciPy, NumPys, Pandas
• Coordinated online tutorials teaching essential engineering programs (SolidWorks, AutoCAD, Excel) • Navigated first year students to help develop crucial engineering design skills (ie. Teamwork, Communication, Prototyping, Design Validation, Quality Control) • Managed 8 design teams (6 students each) to ensure team success and progress by meeting with each team regularly, and maintaining regular email communication with all teams • Navigated full course delivery through online platforms (Zoom, Microsoft Teams) during COVID-19
• Planned private lessons ahead of time to suit students’ needs • Promoted a positive environment in the classroom to make students feel welcome • Communicated regularly with students’ parents to assist in their musical development • Allowed students to enjoy their piano lessons, while learning