Firas Moosvi


Computer Science, Data Science, Physics
Office: SCI 393
Office Hours: By appointment

Research Summary

Scholarship of Teaching and Learning; Medical Physics; Learning Analytics

Courses & Teaching

Introductory Physics, Data Science, Data Visualization, Scientific computation and Programming. COSC 301; DATA 301; PHYS 111.


Firas Moosvi has a BSc from UBC in Honours Biophysics, an MSc in Medical Biophysics from the University of Toronto, and a PhD in Physics from UBC. He has many research interests and they fall under three main umbrellas: medical imaging for applications in cancer, scholarship of teaching and learning (SoTL), and learning analytics. Most recently, he is looking at how the field of learning analytics can provide insight to surface and reduce inequities in STEM programs. Firas has a deep appreciation for data visualization, active learning, and open source projects. He is excited to join the CMPS department to teach physics, data science, as well as computer science!



BSc, University of British Columbia
MSc, University of Toronto
PhD, University of British Columbia

Research Interests & Projects

  • Scholarship of Teaching and Learning (Frequent testing, student attitudes, ComPAIR)
  • Learning Analytics (OnTask, Equity Diversity and Inclusion, student well-being)
  • Medical Imaging (Oxygen-enhanced MRI, high-field MR imaging, contrast agents).


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