Dr. Sandra Fucile

Assistant Professor

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Biography

Dr. Sandra Fucile is an Assistant Professor at Queen's University, specializing in the field of Rehabilitation Therapy. Her research focus is on optimizing the health, development, and quality of life for infants born at risk of neurodevelopmental disorders, with particular attention to preterm infants. Dr. Fucile's research encompasses several key areas: the identification of neurodevelopmental biomarkers, the creation and testing of innovative assessment tools, and the design and evaluation of novel family-integrated intervention approaches aimed at enhancing the well-being of infants and their families. Supported by various grants from the Canadian Institutes of Health Research, the Social Sciences and Humanities Research Council of Canada, the Canadian Occupational Therapy Foundation, Queen's Health Sciences, and the University Hospitals Kingston Foundation, Dr. Fucile also leads the I.N.F.A.N.T. research lab based at the Kingston Health Sciences Centre. This interdisciplinary team conducts clinical investigations to improve the health and development of infants. Currently, she is involved in projects that include the development and testing of a virtually-guided infant developmental abilities screening tool and longitudinal research on developmental outcomes for preterm-born children receiving parent-administered intervention in the NICU. Dr. Fucile supervises graduate students in various related programs and is currently accepting new graduate students.

Research Interests

Requirements for Queen's University

Master Program
Requirements
GPA Requirement
Required:3.3
TOEFL
Listening
Required:20
Reading
Required:22
Writing
Required:24
Speaking
Required:22
Total
Required:88
IELTS
Overall
Required:7
Prerequisites
Honours Bachelor degree Background in Computing, Mathematics, Statistics, or Engineering
Application Checklist
  • Online application
  • Statement of Research Interest
  • Curriculum Vitae
  • Two academic references
  • Transcripts
Specialization Notes

Department of Computing offers research-based, project-based, and course-based patterns.