Summary
Karen Smith is a climate and atmospheric scientist and Associate Professor (Teaching Stream) at the University of Toronto Scarborough with a decade of applied research and teaching experience. Her work combines physics-based numerical modeling and statistical techniques to probe climate and atmospheric variability in mid-latitude and polar regions, with particular expertise in stratosphere–troposphere coupling and atmosphere–cryosphere interactions. She directs graduate programs in climate change impacts and adaptation, translates research into improved climate science literacy through outreach, and brings practical data-science skills and advocacy for open data to her teaching. Karen has bridged academia and industry via a data-science fellowship, building predictive models and web-apps that demonstrate how data-informed decision-making can amplify impact beyond traditional research. Trained at Caltech and the University of Toronto (PhD), she pairs deep theoretical grounding with hands-on modeling and education design, making her equally at home in the classroom, the codebase, and the field of policy-relevant climate analysis.
10 years of coding experience
12 years of employment as a software developer
California Institute of Technology
Doctor of Philosophy (Ph.D.), Atmospheric Physics and Dynamics, Doctor of Philosophy (Ph.D.), Atmospheric Physics and Dynamics at University of Toronto
Bachelor of Applied Science (B.A.Sc.), Mathematics and Engineering (Applied Mechanics Option), Bachelor of Applied Science (B.A.Sc.), Mathematics and Engineering (Applied Mechanics Option) at Queen's University
English, French