Assistant Professor, University of Calgary
Engineer | Researcher | Educator
I’m an assistant professor at the University of Calgary in the Geomatics Engineering department, with a secondary appointment in the Centre for Bioengineering Research and Education. Prospective students: send me an email!
My research is primarily focused on the development of spatially explicit AI solutions for healthcare. More specifically, it involves developing context-aware solutions that support older adults and individuals with chronic diseases such as dementia in smart cities. We aim to better describe connections between spatial context and health outcomes by using methods from spatial analysis, data mining and artificial intelligence.
I’ve completed my PhD in Biomedical Engineering at the University of Toronto in the Intelligent Assistive Technology and Systems Lab, advised by Dr. Alex Mihailidis. My thesis investigated whether GPS mobility can be used to explain, influence, and/or predict dementia. The two primary projects that I worked on were:
(1) Analyzing mobility patterns of people with dementia using multi-sensor datasets including GPS and accelerometry
(2) Investigating in-road driving performance of people with preclinical Alzheimer's disease using GPS driving data
Before my PhD, I graduated with a bachelor's degree in Engineering Science (Aerospace Major) at the University of Toronto in 2016.
I successfully defended my PhD dissertation, and passed with the outcome "As It Stands".
I started my academic appointment as a tenure-track Assistant Professor at the University of Calgary within the department of Geomatics Engineering and the Centre for Bioengineering Research and Education (CBRE).
Our recent article on the DRIVES study has been featured on The New Old Age column of The New York Times, "Seeking Early Signals of Dementia in Driving and Credit Scores" by Paula Span.
My presentation at AAIC has been featured on Medpage Today's article, "Driving Patterns Pinpoint Early Alzheimer's Disease" by Judy George.
Our recent article on the DRIVES study has been featured on BBC News, "How your driving might reveal early signs of Alzheimer's" by Chris Baranuik.
I will be presenting our work on "Identifying Preclinical Alzheimer Disease from Driving Patterns: A Machine Learning Approach" at the 2021 AAIC Conference, Developing Topics on Thursday, July 29, 2021: 1:00 PM - 2:15 PM MDT.
Our abstract "COVID-19 and Preclinical Alzheimer Disease: Driving, mobility, activity and experiences of older adults in the United States" has been accepted for presentation at the AAIC, happening on July 26 - 30th.
Our paper "GPS Driving: A Digital Biomarker for Preclinical Alzheimer Disease" has been accepted for publication in Alzheimer's Research & Therapy.
Our abstract "Evaluating predictability in outdoor mobility: A potential pathway to personalized assistance for people with dementia" has been accepted for presentation at the AAIC, happening on July 26 - 30th.