Toronto, Ontario, Canada
Leading a high-performing team of behavioural scientists and policy experts using data, experimentation, and the scientific method to improve outcomes for Canadians, and uncovering new problems and opportunities.
Leading a national-scale behavioural science research program, from relationship building to ideation to execution to knowledge translation.
Using the tools of science and quantitative modeling to understand major problems facing the public and guide meaningful evidence-based policy solutions.
Investigated the cognitive and neural mechanisms of human memory retrieval using experiments in virtual reality, intracranial brain recordings, machine learning, and natural language processing. Led the development of a novel brain-computer interface using real-time neural oscillations to optimize the timing of memory encoding and retrieval in a desktop virtual reality game.
Designed and carried out a program of research on how human memory retrieval works in the real world, including how it's implemented in the brain (using functional magnetic resonance imaging and magnetoencephalography), and how it goes wrong in older age.
Helped students understand and enjoy course material, created and delivered lectures on a variety of topics (e.g., sensation and perception, human memory, and consciousness).
I developed and taught a course on Human Memory (PSY372) for three semesters at the University of Toronto. While memory was the focus, my deeper aim was to foster curiosity about the human mind and behaviour, while providing intellectual and analytical tools to act on that curiosity. I tried to develop students' ability to think like scientists, emphasizing: critical thinking, problem solving, data visualization and comprehension, and open-minded skepticism.