Biography
I am a Lecturer in the Computer Science department at the University of British Columbia. Though I mainly teach computer science now, I am a multidisciplinary educator with a PhD in Physics and is also interested in data science and education in general. I strongly believe in computational literacy for all and aims to make STEM courses accessible through Active Learning techniques and open education resources. My two main research umbrellas are the scholarship of teaching and learning (SoTL), and Learning Analytics. I am looking at how learning analytics data can provide insight to surface and ultimately reduce inequities in STEM programs. I am also heavily invested in promoting and implementing alternative grading systems in large classes, at scale. I am always happy to collaborate on teaching and learning projects, drop me a note here!
- Scholarship of teaching and learning
- Authentic assessments
- Alternative grading paradigms
- Learning analytics
- Data visualization and science communication
PhD in Medical Physics, 2019
University of British Columbia
MSc in Medical Biophysics, 2012
University of Toronto
BSc in Biophysics, 2009
University of British Columbia
Research Interests
Use of learning technologies to enhance teaching and learning.
A learning method that de-emphasizes didactic teaching and actively engages students with material via problem solving, case studies, role plays and other methods.
Extracting trends from learner data using analytical tools to improve learning.
Developing and implementing methods of inclusive teaching to reduce systemic inequities in STEM education.
Representing data using effective graphs, plots, and other special visualizations.
Challenging the systems and structures associated with traditional grading in higher education.
Notable
Experience
Responsibilities include:
- Teaching undergraduate Computer Science and Data Science courses
- Educational Leadership (SoTL, Learning Analytics, Open Problem Bank, Alternative Grading)
- Service (Computer-based testing facility, Data Science Major Committee)
Responsibilities include:
- Teaching Physics, Computer Science, and Data Science
- Educational Leadership (Open Problem Bank, Alternative Grading)
- Service (Equity and Inclusion Committee, TA hiring and Training)