Dr. Dawn Kingston

Professor

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Biography

Dawn Kingston is a professor at the University of Calgary's Faculty of Nursing. Her research focuses on improving maternal mental health during and after pregnancy, aiming to understand and mitigate the strongest modifiable influences on child mental health development. She leads projects developing and evaluating innovative approaches for screening and treating women facing depression and anxiety during pregnancy, leveraging e-technology to provide mental health care whenever and wherever needed. Kingston's team has conducted nationally funded trials exploring the clinical and cost-effectiveness of e-screening and e-therapy programs among pregnant women, engaging approximately 1000 participants to date. Additionally, she investigates the barriers women and their partners face in accessing mental health care, particularly during the perinatal period. Kingston collaborates with multiple stakeholders, including health agencies and other universities, to formulate national guidelines for perinatal mental healthcare in Canada. Her efforts also focus on understanding the impacts of adverse childhood experiences, including prenatal depression and anxiety, on child resiliency, with studies funded by Alberta Innovates-Health Solutions. Kingston has received multiple awards, including the CIHR New Investigator Award and the Faculty of Nursing Pursuit of Excellence Award.

Research Interests

Experience

Professor

2009-01-01 — Present

University of Calgary • Calgary, AB

Professor in the Faculty of Nursing, focusing on maternal mental health and perinatal care.

Awards

#

Pursuit of Excellence Award

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New Investigator Award

Requirements for University of Calgary

Master Program
Requirements
GPA Requirement
Required:3.3
IELTS
Listening
Required:6
Reading
Required:6
Writing
Required:6
Speaking
Required:6
Overall
Required:7
TOEFL
Listening
Required:20
Reading
Required:20
Writing
Required:20
Speaking
Required:20
Total
Required:97
GRE General
Verbal
Required:150
Quantitative
Required:159
Analytical Writing
Required:5.5
Overall
Required:5.5
Prerequisites
4-year Bachelor's degree in Computer Science or equivalent 3rd or 4th year course in Theory of Computation 3rd or 4th year course in Software Engineering 3rd or 4th year course in Systems (OS, Compilers, Networking) 3rd or 4th year course in Application (AI, Graphics, Databases)
Application Checklist
  • Unofficial Transcripts
  • Curriculum Vitae
  • Statement of Purpose
  • Two Letters of Reference
Specialization Notes

Department of Computer Science Master's program. GRE scores are expected for international students.