STICS - Key Persons
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- Founder / CEO / CareBand Inc.
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- Nurse Consultant - Ina Grafton Gage Home
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- Vice President, Performance Improve and Innovation / Responsive Group
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- Director of Finance and Information Management
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- Executive Director / Director of Care
Dr. Flint is a Senior Scientist in the Toronto General Hospital Research Institute, and a Professor and Vice-Chair Research in the University of Toronto Department of Psychiatry. Dr. Flint's research focuses on geriatric mental disorders, including late-life depression, late-life anxiety, and dementia. Also, he has an interest in the interplay between affective disorders and balance, mobility, and falls in older adults.
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- Assistant Scientist at KITE - Toronto Rehabilitation Institute
Dr. Grigorovich is an Assistant Scientist at KITE-Toronto Rehabilitation Institute, UHN. By training she is an interdisciplinary health services and policy researcher who studies the role of stigma and other social factors driving health inequity in institutional and home care settings. She is particularly interested in the ethical, social and policy implications of new technologies and other innovations that are introduced to improve the quality of care and quality of life for older adults.
Dr. Iaboni is a geriatric psychiatrist and clinician researcher based at Toronto Rehabilitation Institute (TRI). She is the lead scientist in the Dementia Rehab group as part of the Walter and Maria Schroeder Institute for Brain Health and Recovery based at Toronto Rehab. She is interested in innovative technology for dementia care, with a focus on the development and clinical evaluation of technology for the management of falls risk and neuropsychiatric symptoms in dementia.
Dr. Bianchi is a clinical ethicist and scientist based at TRI. Her research interests focus on ethical implications related to persons with dementia, such as the ethical benefits and potential vulnerabilities of new artificial intelligence technologies, decisions related to feeding and risk, and sexual decision-making.
Dr. McArthur is an assistant professor in the School of Physiotherapy at Dalhousie University. Her research focuses on improving the effectiveness of and access to rehabilitation for people living with chronic health conditions across the continuum of care, particularly home and long-term care. She is interested in fall and fracture prevention and improving functional mobility. With a passion to improve mobility and quality of life of clinically complex older adults, Dr. McArthur is a lead instructor of the continuing education course Bone Fit™ hosted by Osteoporosis Canada which teaches exercise professionals about safe movements, physical activity, and exercise for people with osteoporosis.
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- Assistant Professor at the Lawrence S. Bloomberg Faculty of Nursing
Dr. Chu is an Assistant Professor at the Lawrence S. Bloomberg Faculty of Nursing and affiliate scientist at KITE-TRI with expertise in technology in long-term care. Her research disciplines include geriatrics, rehabilitation, person-centered care, user-centered design, and technology for clinicians in various healthcare applications to improve care. Her research also supports the role of the Registered Nurse in long-term care by examining the processes, structures, and outcomes related to nursing care both nationally and internationally.
Dr. Khodabandehloo is a postdoctoral researcher at KITE, Toronto Rehabilitation Institute, University Health Network. She specializes in analyzing of the behaviour of people in smart homes and her focus is on using machine learning methods for anomaly detection in smart homes. She received her Ph.D. in geo-spatial information systems. Her research interests are mainly focused on spatio-temporal modeling, machine learning, activity recognition and ambient assisted living.
Dr. James Tung is an engineering scientist with expertise in wearable sensors, signal processing, and machine learning for the assessment of human movement. His research focuses on the advancement of human movement research methods and the development of assistive technology for independent mobility and rehabilitation. With a scientific background in neuroscience, biomechanics, and rehabilitation, Dr. Tung works closely with investigators and clinicians in human movement control, with an emphasis on ambulatory measurement to understand complex mobility patterns in real-world conditions.
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- Senior Implementation Scientist and Associate Professor at Wilfred Laurier University
Dr. McMurray is a senior implementation scientist and associate professor at Wilfred Laurier University with expertise in the use of mixed methods to evaluate the adoption of intelligent assistive devices by older adults. Her research explores critical societal issues at the nexus of business, technology and health and aging. She also examines the influence of intelligent non-human agents on human behaviour in domestic environments.
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- Senior Scientist in Nursing Research at TRI
Dr. McGilton is a senior scientist in nursing research at TRI with expertise in best care practices in long-term care and a Professor at the Lawrence S. Bloomberg Faculty of Nursing at the University of Toronto. The focus of her work is on enhancing the care of older adults, especially those with dementia, through the development and application of interventions, outcome measures and models of care in practice.
Dr. Newman is a nursing researcher in knowledge translation in dementia care and an associate professor at Ryerson University. Her research explores healthy aging and dementia, with a focus on knowledge translation/health evidence, assistive technologies to detect agitation in persons with dementia and awareness, intergenerational relations, and caregivers in dementia.
Dr. Haslam-Larmer is the implementation HQP and a post-doctoral fellow at TRI, her PhD is in Aging & Health. Her research explores utilization of technology in older adults, specifically in those with cognitive impairment. She is also interested in utilizing knowledge translation strategies to support clinician implementation of activity monitor technologies.
Dr. Faieghi joined the team as a biomedical engineering post-doctoral fellow at TRI and is now an assistant professor at Ryerson University in the Department of Aerospace Engineering. He continues to work with the team to monitor the health status of people with dementia using Artificial Intelligence. His main research areas are robotics, artificial intelligence, parallel computing, and control theory.
Dr. Khan is a computer scientist at TRI with a focus on machine learning for the development of assistive technologies in aging. As a member of the Artificial Intelligence and Robotics research team, his main research focus is in the development of machine learning and deep learning algorithms within the realms of ARIAL (Aging, Rehabilitation, and Intelligent Assistive Living). He is also a post-graduate affiliate at the Vector Institute in Toronto.
Fiona is the graphic/web designer of the STICS project at UHN.
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- General Manager of the Long - Term Care Division
Leia completed her MASc. in Biomedical Engineering at UBC, BASc. in Mechatronics Engineering at UWaterloo, and is interested in realizing novel engineering technology in rehabilitation applications. Leia joined the Dementia Rehab Lab at UHN to coordinate the STICS Project.
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- Senior Nurse Consultant - Ina Grafton Gage Home
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- Physiotherapist on the Specialized Dementia Unit
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- Clinical Research Analyst at KITE TRI
Noor is a clinical research analyst at KITE TRI. She completed her Honours Bachelor of Science at the University of Toronto and is a certified clinical research professional. Her research specialties include psycho-social oncology, psycho-education, and neuro-psychiatry in geriatrics.
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- Executive Director / Revera Inc.
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- Executive Director / Director of Care
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- Director of Technology and Innovation / Responsive Group
Yasser completed his double major undergraduate in Biomedical and Electrical Engineering at the University of Witwatersrand. He started his MASc in Biomedical Engineering in September 2022 at the University of Toronto under the supervision of Dr. Shehroz Khan and is actively working on investigating features of circadian rhythms within STICS data.
Zain is a PhD candidate at the University of Toronto working at the intersection of machine learning and biomedical engineering. He is an engineer by training, and founded Vinci Labs, developing a digital health platform that leveraged machine learning to remotely monitor chronically ill patients using data from their medical devices. He is passionate about the field of data science and machine learning and loves to share his love for the field with anyone interested in the domain.