Geoffrey Messier, PhD

PhD in Electrical and Computer Engineering Department of Electrical and Computer Engineering University of Alberta, Canada
M Sc in Electrical and Computer Engineering Department of Electrical and Computer Engineering University of Calgary, Canada
B Sc in Electrical Engineering Department of Electrical Engineering University of Saskatchewan, Canada
B Sc in Computer Science Department of Computer Science University of Saskatchewan, Canada

Geoffrey Messier Photo

Areas of Research

Data Science for the Services Provided to People Living with Homelessness, Mental Health Disorders and Addiction
My research involves using data science to improve the services provided to people experiencing homelessness, mental health disorders and addiction. This ranges from developing algorithms to help spot folks who need help to creating data visualization tools for staff working directly with vulnerable groups. We work in cross-disciplinary teams that include researchers and clinicians from psychiatry, medicine and social work. We are also proud to collaborate with some of the amazing community agencies that provide support to this very vulnerable group. These agencies include The Calgary Drop-In Centre, the Calgary Homeless Foundation and Trellis. Data science and machine learning can be used in a variety of ways and it is important to emphasize that we are not developing algorithms that automate support and/or treatment decisions. Instead, our goal is to develop tools that provide information to support the human staff doing front line work with vulnerable individuals.

Supervising degrees

Electrical and Computer Engineering - Doctoral: Accepting Inquiries
Electrical and Computer Engineering - Masters: Accepting Inquiries

Working with this supervisor

I am always interested in reviewing applications from well qualified students interesting in joining my research team. If you are interested in applying to be a member of my group, please include the following information: 1) A complete CV summarizing both your academic and work experience. 2) A scanned version of your transcripts. 3) A one page letter explaining which of the research areas I have listed above that most interest you and why you feel you are a good candidate to work in your area of interest. The more specific you can be, the better your chances. 4) An indication of whether you already have financial support or if you will require funding from the University of Calgary.

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