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Matt Ratto is a full Professor in the Faculty of Information at the University of Toronto , where he also serves as Associate Dean, Research . He is a faculty affiliate of the Climate Positive Energy Institute , the Schwartz Reisman Institute for Technology and Society , and an SDG Fellow with the Sustainable Development Goals Institute . His work bridges critical theory and digital innovation , focusing on the social production of knowledge through emerging technologies. His research explores critical making and socio-technical systems , with applications in 3D-printed prosthetics (deployed in Cambodia, Tanzania, and Uganda), AI-driven healthcare solutions , and climate justice in computing . He has received over $6 million in funding, including two Canada Grand Challenge grants , and founded organizations advancing equitable technology access. Ontario Minister of College and Universities’ Award of Excellence (2020) Bell Canada Usability Labs Chair in Human-Computer Interaction (2018–2023) He supervises students such as Olivia Doggett and Sarah Gram , with past advisees including Brian Sutherland and Dan Southwick . His Critical Making Lab fosters interdisciplinary collaboration, and he teaches courses like INF2241: Critical Making and INF351: Information Design Studio .

• Artificial Intelligence
• Human-Computer Interaction
• Critical Making
• +7 more

Frank Russo is a Professor in the Department of Psychology at Toronto Metropolitan University, where he holds the NSERC-Sonova Senior Research Chair in Auditory Cognitive Neuroscience. He leads the Science of Music Auditory Research and Technology (SMART) Lab and holds affiliate and adjunct positions at the University Health Network and the University of Toronto, respectively. Research Interests: Dr. Russo's work lies at the intersection of auditory cognitive neuroscience, music psychology, and rehabilitation. His research explores how humans perceive music and speech, particularly under challenging conditions such as hearing loss or non-native accents. He investigates the cognitive and neural mechanisms of listening effort, emotional speech processing, and the social and therapeutic benefits of music, especially through community choirs and digital interventions. Publication Trends: His recent publications emphasize objective measurement of listening effort using functional near-infrared spectroscopy (fNIRS), music-based interventions for Parkinson’s disease and dementia, vocal and emotional responses to singing, and multisensory integration in beat perception. The work is highly translational, bridging basic cognitive neuroscience with clinical and community applications. Scientific Awards and Honors: NSERC-Sonova Senior Research Chair in Auditory Cognitive Neuroscience Fellow of the Canadian Psychological Association Fellow of Massey College Fellow of the Canadian Society for Brain, Behavior and Cognitive Science Past President of the Canadian Acoustical Association Advising and Grants: Dr. Russo actively mentors students and researchers, as evidenced by his co-authorship with numerous junior colleagues. He has secured major funding through NSERC and industry partnerships, enabling the development of impactful technologies such as hearing aid algorithms, sensory substitution systems, and digital therapeutics. His SingWell project fosters collaboration across academic, clinical, and community sectors. Labs and Teams: He directs the SMART Lab at Toronto Metropolitan University, a hub for interdisciplinary research on music, hearing, and cognition. The lab collaborates extensively with KITE Research Institute, Rehabilitation Sciences at the University of Toronto, and various community organizations focused on aging, hearing loss, and neurodegenerative conditions.

• Auditory Cognitive Neuroscience
• Music Psychology
• Music Medicine
• +12 more

Catherine Stinson is an Assistant Professor and Queen’s National Scholar in Philosophical Implications of Artificial Intelligence at Queen's University. She holds joint appointments in the School of Computing and the Philosophy Department, blending technical and philosophical expertise to address ethical challenges in AI. PhD in History & Philosophy of Science, University of Pittsburgh (2013) MSc in Computer Science, University of Toronto (2013) Dr. Stinson's research focuses on methodological and ethical dimensions of artificial intelligence, including: Bias and explanation in machine learning Computational psychiatry Embodied intelligence Community-led design AI ethics education Her recent publications analyze corporate influence in NLP, privacy implications of large language models, and documentation practices in AI datasets. They explore intersections between technical performance, ethical responsibility, and societal impact. Scientific awards include: Queen’s National Scholar Finalist for Outstanding Certification at Transactions in Machine Learning Research As director of the Ethics and Technology Lab at Queen's, she leads interdisciplinary projects challenging algorithmic bias, investigating AI creativity, and developing tools to resist targeted violence. Current initiatives include: Critical evaluation of chatbots for mental health support Tracking (In)justice project on police-involved deaths in Canada

• Artificial Intelligence
• Machine Learning Ethics
• Computational Psychiatry
• +4 more

Dr. Angelique Jenney is an Associate Professor and the Wood’s Homes Research Chair in Children’s Mental Health at the Faculty of Social Work, University of Calgary. With over 25 years of experience in gender-based violence, child protection, and children’s mental health sectors, she specializes in trauma-informed approaches and simulation-based learning methodologies. Doctor of Philosophy (PhD), Social Work – University of Toronto (2011) Master of Social Work (MSW) – Wilfrid Laurier University (1998) Bachelor of Arts (BA), Psychology Co-op Program – University of Guelph (1995) Her research focuses on child mental health , gender-based violence , trauma across the lifespan , and simulation-based learning . She develops tools to enhance clinical competencies through experiential training, addressing gaps in child protection responses to violence and trauma. Dr. Jenney’s publications highlight innovative practices such as virtual simulations for interdisciplinary education, narrative shelter models for resilience, and trauma-informed interventions with perpetrators. Her work bridges academic research and frontline practice, emphasizing practical knowledge dissemination to parents and policymakers. Faculty Publication Award (2017–2022) Faculty of Social Work Early Career Researcher Award (2021) Teaching Experiential Learning Initiatives Teaching Award (2023) She collaborates with agencies like the Hotchkiss Brain Institute and Mathison Centre for Mental Health Research and Education, contributing to policy development and training frameworks in child welfare.

• Child Mental Health
• Gender-Based Violence
• Trauma-Informed Practice
• +3 more

Dawn Martin-Hill , Professor Emeritus in Indigenous Studies at McMaster University , is Canada’s first Indigenous cultural anthropologist and the founder of McMaster’s Indigenous Studies Program (1992). She also holds the role of Academic Co-Chair of the Indigenous Education Council and has served as Director of Indigenous Studies since 1998. A Mohawk scholar residing at Six Nations of the Grand River, she integrates Indigenous knowledge systems with Western science to address critical issues of water security, health, and sovereignty. Education & Training: PhD, Cultural Anthropology Research Interests: Dr. Martin-Hill’s work centres on traditional ecological knowledge (TEK) , community-driven water security , and Indigenous methodologies . Her flagship program Ohneganos co-creates bilingual tools—apps, VR, water sensors, Indigenous mapping, films, and podcasts—to empower First Nations in monitoring and managing water resources. She explores intersections of climate change, maternal health, mental health, and Indigenous governance . Research Impact: Spanning hydrology, medical anthropology, and digital health, her recent publications address urgent issues such as water insecurity’s impact on maternal mental health , climate-driven hydrological extremes , and digital mental-health tools for Indigenous youth . Collectively, her work advances decolonizing methodologies and supports United Nations Sustainable Development Goals. Scientific Awards & Honours: Inaugural Fulbright Indigenous Canada–U.S. Scholar Award Inaugural Chair, CIHR-IPH Secretariat on Traditional Medicine in Health Research Outstanding Teaching Award, Aboriginal Consortium 2022 University of Oklahoma International Water Prize Oklahoma Universities Water Technologies Award Princeton Book Award for forthcoming Ohneganos volume Funding & Training: Principal Investigator on four Global Water Futures grants that have supported over 30 graduate students and nine Indigenous Studies undergraduates , plus 45 secondary First Nations students receiving McMaster certificates. She has served as co-investigator on CIHR-IPH ARHNets Center funding 80+ First Nations, Métis, and Inuit graduate students . Leadership & Service: Member of the UNESCO Hydrology Committee for Canada , board member of CIHR Institute of Indigenous Peoples’ Health and CIHR Anti-Racism Committee , former Chair of the CIHR College of Reviewers. She spearheaded the McPherson Chair in Indigenous Studies and secured multiple Indigenous student scholarships and bursaries.

• Indigenous Studies
• Cultural Anthropology
• Traditional Ecological Knowledge
• +7 more

Maria Cherba is an Assistant Professor in Communication at the Faculty of Arts, University of Ottawa. Her work bridges health communication, telemedicine, and Indigenous health equity. Ph.D. in Communication from Université de Montréal (2020) Research Interests span: Cultural and Health Telemedicine and Digital Health Patient Experience and Interpersonal Communication Indigenous Health Advocacy Organizational Communication in Healthcare Psychosocial Support Systems Publication Trends focus on telemedicine implementation, Indigenous health representation in policy, patient-physician interactions in chronic care, and pandemic impacts on end-of-life preferences. Her methodological emphasis lies in qualitative interaction analysis.

• Cultural and Health
• Telemedicine
• Health Services
• +8 more

Dr. Timothy H. Murphy is a Professor in the Department of Psychiatry at the University of British Columbia's Faculty of Medicine. He is also an Associate Member of the School for Biomedical Engineering and a Member of the Djavad Mowafaghian Centre for Brain Health. Dr. Murphy leads the Dynamic Brain Circuits in Health and Disease initiative and the Division of Neuroscience and Translational Psychiatry at UBC. Dr. Murphy received his Ph.D. from Johns Hopkins University in 1989 and his B.Sc. from Saint Mary's College Maryland in 1984. His research focuses on understanding brain circuit structure-function relationships in relation to stroke recovery, psychiatric disorders, and neurological diseases. He specializes in mesoscale imaging techniques to study cortical activity patterns and develop automated approaches for brain imaging and stimulation. His laboratory develops innovative tools including open-source hardware for automated mouse brain imaging, synthetic data generation for behavioral analysis, and chronic recording systems that enable simultaneous mesoscale cortical imaging with subcortical or peripheral nerve activity monitoring. Research from the Murphy Lab has significantly advanced our understanding of how brain circuits reorganize after stroke and in models of psychiatric disorders. Dr. Murphy's recent publications reveal trends in mesoscale cortical imaging, development of synthetic data for behavioral analysis, and exploration of circuit-level changes in neurological and psychiatric disease models. His work bridges basic neuroscience with potential clinical applications for stroke recovery and mental health treatments. Dr. Murphy has mentored numerous students and postdoctoral fellows who have gone on to successful careers in neuroscience and related fields. His laboratory has received funding to support innovative approaches to understanding brain circuit function and recovery mechanisms. The Murphy Lab maintains strong collaborative ties across UBC and develops open-source tools that are widely adopted by the neuroscience community. Their work on automated home-cage imaging systems, synthetic behavioral data generation, and chronic recording technologies represents significant methodological advances in the field.

• Neuroscience
• Stroke Recovery
• Brain Circuit Mapping
• +5 more

Jian Zhao is an Associate Professor at the University of Waterloo's School of Computer Science, specializing in Information Visualization (InfoVis), Human-Computer Interaction (HCI), and Data Science. With a Ph.D. from the University of Toronto (2016), his research emphasizes interactive visualization techniques, AI integration in design processes, and socio-technical systems. He explores how human-AI collaboration can enhance data analysis, presentation, and user experience in complex systems. Key research areas include: 1) AI-Driven Design (e.g., code generation via sketching, infographic creation), 2) Health Informatics (therapeutic AI tools for autism support), 3) Immersive Technologies (VR/AR interfaces for presentations and education), and 4) Social Computing (remote family communication, multi-modal emoticons). His work bridges technical innovation with human-centered design principles. His publications (2021–2025) reflect a focus on interactive visualization frameworks (e.g., iTrace for cross-view data analysis), AI-human collaboration (CoLadder for hierarchical code editing), and specialized applications like TherAIssist for art therapy and EMooly for autism support. Zhao frequently explores novel interaction modalities , including gesture-based VR interfaces and sketch-based programming tools. He leads projects in computational notebooks (EDAssistant, Slide4N), visual analytics (MissBin for bipartite networks), and neurofeedback training games (Eggly). His work often emphasizes systematic design considerations for missing data, cross-view analysis, and contextual visualization in spatial AR environments.

• Information Visualization (InfoVis)
• Human-Computer Interaction (HCI)
• Data Science
• +6 more

Fattane Zarrinkalam is an Assistant Professor in the School of Engineering at the University of Guelph. She holds a PhD from Ferdowsi University of Mashhad, Iran, and completed a Postdoctoral Research Fellowship at Ryerson University (2018–2020). Her research focuses on social media mining, semantic technologies, and user modeling, with applications in healthcare, legal tech, and e-commerce. She is a Vector Institute Postgraduate Affiliate and serves on editorial boards for journals like Information Processing & Management and IEEE Transactions on Network Science and Engineering . Her work emphasizes actionable insights from social data, including sarcasm detection, user interest prediction, and fairness in social media analytics. Zarrinkalam has contributed to over 30 peer-reviewed publications and holds multiple patents in data analysis and social media sentiment modeling. Education: PhD, Ferdowsi University of Mashhad, Iran Postdoctoral Fellowship, Ryerson University Research Scientist, Thomson Reuters Labs Research Interests: Semantic interpretation of social content User modeling via temporal analysis Social good applications (e.g., mental health, telecommunication) Fairness in social media mining Recent Work Trends: Her articles span network representation learning, dynamic user interest prediction, and interdisciplinary applications. Notable themes include neural networks for sarcasm detection, heterogeneous graph embeddings, and leveraging Twitter data for psychological insights. Awards & Service: Co-chair, International Workshop on Mining Actionable Insights from Social Networks (MAISoN) Editorial board roles for top journals Labs & Teams: Involved in interdisciplinary collaborations at the Vector Institute and partnerships with industry on legal tech and social analytics projects.

• Social Media Mining
• Semantic Technologies
• User Modeling
• +6 more

Edward Lank was a Professor at the Cheriton School of Computer Science, University of Waterloo, and held an Inria International Research Chair at Inria Lille-Nord Europe (2019–2023). His research focused on Human-Computer Interaction (HCI), including intelligent user interfaces, mobile/multi-touch interaction, gesture recognition, and mathematical software design. He earned a BSc from the University of Prince Edward Island and a PhD from Queen's University. Research Highlights: Pioneered work on gesture-based interaction, including MathBrush for mathematical expression recognition. Explored large-display interaction, powerwall design, and mass user engagement with public displays. Investigated kinematics of user input, endpoint prediction, and mode inference in interfaces. Collaborated on persuasive technology for energy demand management and health-related serious games. Awards & Recognition: National Science Foundation Career Award (2004) Best of CHI Nominee (2008) Inria International Research Chair (2019–2023) Grants & Funding: Supported by Google, NSERC, GRAND NCE, and the ORF Program. His research addressed challenges in wearable tech, VR/AR, and sustainable HCI practices. Legacy: Edward Lank passed away on March 21, 2022. His contributions to HCI, including foundational work on gesture recognition and user-centered design, continue to influence the field. His courses, such as CS 889 (HCI Seminar) and CS 449 (HCI Fundamentals), emphasized user-centered design and empirical methods.

• Human-Computer Interaction
• Intelligent User Interfaces
• Mobile Interaction
• +3 more

Matthew Holden is an Associate Professor in the School of Computer Science at Carleton University. He holds a PhD (2018) and MSc (2014) from Queen's University and a BScH (2012) from Western University. His research focuses on Surgical Data Science, applying machine learning to surgical time-series data from operating rooms and simulations to improve patient outcomes and surgical training. Key areas include real-time decision support, performance assessment, and surgical efficiency through domain-knowledge integration. Research interests emphasize machine learning for surgical workflows, skill assessment via sensor data (e.g., motion tracking, EEG), and computer-assisted interventions. Notable work includes automated proficiency evaluation in cataract surgery, ultrasound-guided procedures, and neurosurgical training. His contributions span medical robotics, surgical education, and clinical decision support systems. Publications highlight advancements in surgical workflow anticipation, tool detection, and skill metrics across domains like ophthalmology, emergency medicine, and neurology. Holden advocates for interdisciplinary approaches combining computational methods with clinical expertise to enhance healthcare delivery.

• Surgical Data Science
• Machine Learning
• Computer-Assisted Surgery
• +3 more

Jonathan Rose is a Professor in the Edward S. Rogers Sr. Department of Electrical and Computer Engineering at the University of Toronto . He received his PhD in Electrical Engineering from the University of Toronto in 1986 and held postdoctoral and research roles at Stanford University's Computer Systems Laboratory (1986-1989). His academic career spans decades, including a 1998-1999 sabbatical at Xilinx and leadership roles at Altera Toronto Technology Centre. He served as Department Chair of Electrical and Computer Engineering (2004-2009) and directed the Engineering Business Minor (2010-2017). Currently, he chairs the Engineering Entrepreneurship Hatchery Advisory Board and engages with organizations like Academics without Borders and Massey College. His research has historically focused on FPGA architecture , Computer-Aided Design (CAD) , Field-Programmable Systems , and Soft Processors . More recently, his work explores the Automation of Medicine , particularly in mental health. His contributions include co-founding the ACM FPGA Symposium and receiving numerous awards for teaching, research, and leadership. Scientific Awards : University of Toronto Engineering Alumni Hall of Distinction Award, 2017 Best Paper Award, ACM TRETS, 2016 University of Toronto President’s Teaching Award, 2016 Foreign Member of the American National Academy of Engineering, 2011 Fellow of the Royal Society of Canada, 2012 The 15 most recent articles reflect his interdisciplinary engagement, spanning Political Science , Public Policy , and Deliberative Democracy , with sub-fields such as Employability Support , Electoral Reform , and Local Governance . His career bridges engineering innovation and societal challenges, particularly in governance and policy.

• FPGA architecture
• Computer-Aided Design (CAD)
• Field-Programmable Systems
• +3 more

Rachelle Hole is a Professor at the School of Social Work, Faculty of Health and Social Development, University of British Columbia Okanagan. She serves as the Director of the Canadian Institute for Inclusion and Citizenship (CIIC) and leads the Social Inclusion and Equity Research Cluster at the Institute for Community Engaged Research. As an Associated Health Researcher with CREST.BD, she bridges mental health and disability studies through community-based participatory research. UBC Tier 1 Principal's Research Chair in Critical Disability Studies Director, Canadian Institute for Inclusion and Citizenship Social Inclusion and Equity Research Cluster Leader Associated Health Researcher, Collaborative RESearch Team (CREST.BD) Her research integrates critical disability studies with community-based participatory methodologies to advance social inclusion for marginalized populations, particularly focusing on individuals with intellectual/developmental disabilities, Indigenous communities, and bipolar disorder patients. She explores employment equity, self-advocacy, and digital health tools like the PolarUs app for mental health. Her work emphasizes ethical participatory theatre and policy-informing research. Recent publications and grants (2018–2025) include multi-million-dollar partnerships with Canadian Institutes for Health Research, Social Sciences and Humanities Research Council, MITACS, and Vancouver Foundation. Key projects: Tide Project (youth employment), Impact 2.0 (summer employment), and Evidence to Inform Policy (community living sector). Her 15 most recent Google Scholar articles span employment barriers, digital health, research-based theatre, and policy analysis. Scientific awards include UBC Okanagan Health Researcher of the Year (2019). She has supervised numerous graduate students and collaborated with institutions like Community Living British Columbia, Aspire, and CREST.BD.

• Critical Disability Studies
• Community-Based Participatory Research
• Social Inclusion and Equity
• +7 more

Jonathan Little is a Professor at the University of British Columbia Okanagan , affiliated with the Faculty of Health and Social Development and School of Health and Exercise Sciences . He leads the Exercise Metabolism and Inflammation Laboratory (EMIL) , focusing on the intersection of exercise physiology, nutrition, and metabolic disorders. Hons B. Kin – McMaster University, 2005 M.Sc. – University of Saskatchewan, 2007 Ph.D. – McMaster University, 2010 Postdoctoral Fellowship – UBC, 2010-2012 His research investigates how metabolic disruptions in type 2 diabetes affect cellular inflammation and how exercise/nutritional strategies can mitigate these effects. Key areas include high-intensity interval training (HIIT) , nutritional ketosis , and immunometabolic responses . EMIL combines human clinical trials with cellular/molecular experiments, utilizing advanced tools like flow cytometry and metabolic carts. His recent publications emphasize exercise snacks (short, frequent workouts), ketone supplements , and fasting protocols for managing diabetes and obesity. He has received prestigious awards like the Killam Accelerator Fellowship and CIHR New Investigator Award . Killam Accelerator Research Fellowship (2021-2023) Canadian Society for Exercise Physiology Young Investigator Award (2020) UBC Killam Research Fellowship (2018) Michael Smith Foundation for Health Research Scholar (2018-2023) American College of Sports Medicine New Investigator Award (2016) CIHR New Investigator Salary Award (2015-2020) He supervises graduate students in HMKN 313 – Exercise Metabolism and mentors through the HMKN 499 Research Practicum . His lab (EMIL) collaborates with institutions like the BC Diabetes Research Network and serves as an Associate Editor for Applied Physiology, Nutrition and Metabolism .

• Exercise Physiology
• Metabolism
• Inflammation
• +3 more

Teresa Cheung is an Adjunct Professor in the Department of Engineering Science at Simon Fraser University’s Faculty of Applied Sciences. Her research focuses on neuroimaging techniques, particularly magnetoencephalography (MEG), and their applications to understanding brain networks in health and disease. She holds a Ph.D. in Physics from SFU (2012) and completed a postdoctoral fellowship at the University of Cambridge (2012–2013). Research interests include: MEG instrumentation and optically pumped magnetometers (OPM) Cortical-cerebellar networks and cerebellar activity localization Neuroimaging of neurological disorders like major depressive disorder and epilepsy Functional and structural connectome analysis across the human lifespan Multimodal integration of MEG, MRI, fMRI, and DTI data Recent work emphasizes the relationship between cardiovascular health, brain aging, and cognitive resilience. Her studies span clinical applications (e.g., depression biomarkers) and technical advancements in neuroimaging systems. Collaborations include multi-site studies on depression and aging cohorts like the Cam-CAN project. Publications highlight innovative methods in MEG system design, neural network dysfunction analysis, and lifespan brain dynamics. Her work bridges engineering, neuroscience, and clinical research to advance non-invasive brain imaging and neurophysiological understanding.

• Biomedical Engineering
• Neuroimaging
• Magnetoencephalography (MEG)
• +4 more