2019 Interdisciplinary Fellowship Program

A crucial part of Canadian Frailty Network’s mandate is to develop the next generation of Highly Qualified Personnel (HQP) – the scientists and educators, clinicians, and health and social services professionals that will improve care for older adults living with frailty. The CFN Interdisciplinary Fellowship Program goes beyond traditional academic and clinical training opportunities by offering enriched experiential learning and interdisciplinary collaboration. In New Brunswick, the competition was presented in collaboration with the New Brunswick Health Research Foundation (NBHRF).

The 10 Fellows in our seventh annual cohort represent eight disciplines at eight Host Institutions in four provinces.

Student

Supervisor

Host Institution

Max Al-Aqel Olga Theou Dalhousie University
Kendra Cooling Danielle Bouchard University of New Brunswick
Julie Dunning Samir Sinha Mount Sinai Hospital
Emily Hladkowicz Jordan Miller Queen’s University
Lauren Murray Dallas Seitz Queen’s University
Heather O’Grady Michelle Kho McMaster University
Jananee Rasiah Greta Cummings University of Alberta
Veronica Sacco Paul Stolee University of Waterloo
Samuel Searle Kenneth Rockwood Dalhousie University
Sara Shearkhani Walter Wodchis University of Toronto

About the 2019 competition

Funding: Fellowship terms for the 2019-20 competition were 12 months. CFN contributes a maximum of 50% of the Fellowship funding and each Fellow must have had a confirmed partner that agreed to provide at least matching funds in cash. All funding is paid as Fellow stipends only.

IFP Funding Table 2019

Eligibility: The Fellowship Competition was open to current graduate and PhD students, post-docs & working professionals. Individuals from any discipline were encouraged to apply, so long as their proposed activities aligned with the strategic priorities of CFN related to improving care for older Canadians living with frailty.

For further information please contact CFN Training:

training@CFN-nce.ca

(613) 533-6000, x 79331