Teaching Assistant - Biomedical Engineering & Computing Courses
June 15, 2012
·
1 min read
Overview
Supported instruction and assessment in core biomedical engineering and computing coursework, emphasizing problem-solving, conceptual mastery, and application.
Courses supported
- Introduction to Biomedical Engineering
- Principles of Medical Imaging
- Computer Programming
Responsibilities (edit to match what you actually did)
- Supported tutorials/problem sessions and office hours
- Helped create/mark problem sets, quizzes, and/or exams
- Assisted learners with debugging, conceptual clarity, and applying methods to real-world problems
Key takeaways
- Students progress fastest when problems are scaffolded from fundamentals → application → edge cases
- Programming competence improves when learners adopt a structured troubleshooting workflow
- In medical imaging, linking physics + signal processing + interpretation improves transfer across modalities
Authors
Ehsan Misaghi
(he/him)
Clinician-Scientist Trainee
Ehsan Misaghi is an MD/PhD Candidate at the University of Alberta working at the intersection of ophthalmology, genetics, and artificial intelligence.
His research focuses on inherited retinal disease and genotype–phenotype correlations in ocular disease, with an emphasis on mechanistic insight and translational relevance.
Alongside research, he builds and evaluates practical AI tools for clinical and educational settings, and he leads medical AI education, research, and community-building through the AI in Medical Systems Society (AIMSS) and related initiatives.
His goal is to advance rigorous, clinically useful research and translate it into improved diagnostics, care pathways, and responsible innovation.