Investigate methods to improve EEG-based brain-computer interface user training and small dataset quality evaluations with objective to increase device feasibility in clinical environments for children with disabilities.Utilize machine learning, information theory, neuroscience of learning, and instructional design to develop novel algorithms and tools for user-training, data visualization, and data-driven user performance metrics.

Lead a volunteer graduate student-based STEM educational program engaging over 250 local high school students per year in semester-long and biomedical engineering-themed research and design projects in university teaching spaces.Coordinate logistics with high school administrator and teacher partners for on-campus activity, recruite and train graduate student volunteers, contribute to the ideation of student projects, and facilitate connections and communications between graduate student volunteers and partner teachers.With leadership team, secured over $100K in annual program funding and conduct research demonstrating positive impact on participating student learning outcomes, professional teaching practice, and graduate student professional development.

Designed and produced all weekly course assignments for introductory programming course for first year engineering students.Setup and maintained automated online assignment grading system for classes of over 450 students.Wrote programs to grade student submissions, provide instructive feedback to students, and collect aggregate student performance data for instructional team.Managed team of 15+ graduate teaching assistants overseeing weekly student laboratory sessions.

Taught introductory computing programming course to group of 70+ undergraduate engineering students during condensed summer term.Designed course structure and learning materials including lectures, assignment, exams, and tutorials and managed a team of graduate teaching assistants to support student learning.Achieved higher than engineering department mean on student course evaluation metrics.

Led development of embedded firmware to control hardware devices for airborne pathogen sensing and detection.Designed electronic systems to measure air quality using variety of sensors.Developed desktop software applications to setup, execute, record, and analyze data for DNA diagnostic tests performed in remote client locations.

Created computer vision and machine learning software applications and tools based on OpenVX standard for embedded image processing with company’s FPGA-based vector processor.Investigated processing performance enhancements of hardware overlays for real-time image processing in collaboration with UBC research group

Led of team composed of multidiscipary students developing autonomous robots to compete at annual international RoboCup competition.Mentored 20+ students and supervised their technical project work; fostered learning environment focused on increasing member retention and engagement, resulting in team’s best finish at 2018 competition (third place).Led team executive and technical leadership restructuring contributing to team winning division at 2019 competition.Other responsibilities included securing and managing team funds and sponsorship (over $25K in funds and $100K in-kind donations per year) and coordinating community outreach events aimed atincreasing youth interest in STEM education and robotics.

Developed internal tools for developers to improve analysis and evaluation of company’s flagship electronic design automation products

Independently developed company’s first demonstration prototype for a wearable device for seniors to monitor physiological signals and determine if the user had fallen