Trainee Directory
The Institute of Biomedical Engineering (BME) consists of 300+ graduate students from the Master of Engineering, Master of Applied Science, and Doctor of Philosophy programs. Below are some of our trainees who have agreed to have their profiles showcased. For privacy reasons, we have not shown the contact information of our students.
If you are a registered graduate student, or a trainee at BME and would like your information displayed on this page, please fill out a form here and we'll review your profile ASAP. If you have any questions, or would like to have your profile removed from this page, please email us at comm.bme@utoronto.ca.
For more student-related stories, please visit BME's blog for more detail: https://discover.bme.utoronto.ca/tag/graduate-student/.
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Faye (Fateme) Pourghasem
Biography
MASc in Biomedical Engineering (University of Toronto) specializing in AI and health innovation. Passionate about leveraging cutting-edge technology to solve real-world healthcare challenges. Continually expanding my expertise through courses in advanced machine learning and health informatics.
Key achievements:
• Led end-to-end development of a $250,000 NFRF-funded virtual rehab platform at Toronto Rehab Institute-UHN. Spearheaded integration of 3D animated avatars into a React-based web app, overcoming complex technical challenges to improve user engagement by 40%.
• Co-founded AgeUnity, addressing social isolation in older adults. Drove product strategy and user research, leading to “Best Business Idea” award at AGE-WELL’s EPIC Institute and top 10 startup recognition at ICAIR conference.
• As Technical PM at Nabz Inc., led discovery and development of “AI for Medical Sciences Students” course. Translated stakeholder needs into technical requirements, resulting in 95% user satisfaction and 30% increase in qualified leads.
• Founded BaMaMouz, delivering self-development video courses. Applied data-driven decision making and cohort analysis to optimize user acquisition funnel, achieving 50% customer growth in 6 months.
Technical proficiencies: Python, ML, DL, Data Science, React, TensorFlow, data visualization, API integration
Soft skills: Strategic leadership, cross-functional team management, stakeholder communication
My approach combines analytical rigor with creative problem-solving to develop user-centric, AI-driven solutions that make a tangible impact. I thrive in dynamic environments where I can leverage my unique blend of technical expertise, product management skills, and entrepreneurial drive.