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Firas Moosvi is a lecturer in the Computer Science department at the University of British Columbia, specializing in interdisciplinary education with a focus on data science. He holds a PhD in Physics from UBC and a Master's degree in Medical Biophysics from the University of Toronto. His research interests encompass alternative grading systems, particularly in large STEM classes, and the scholarship of teaching and learning (SoTL). Firas explores learning analytics to uncover insights that can help reduce inequities in STEM programs. He has a strong appreciation for data visualization and actively engages in open source projects. Firas is enthusiastic about collaboration in teaching and learning initiatives and encourages students to reach out to him for opportunities related to honors thesis and directed studies projects in data science and education research.
Offers course-only and thesis routes. Focus areas include philosophy of science, mind, ethics, and Asian philosophy.