جستجوی استاد راهنمای دانشگاهی

Dr. Jennifer Katz serves as an Associate Professor in the Department of Educational and Counselling Psychology, and Special Education (ECPS) at the University of British Columbia's Faculty of Education. She joined UBC in July 2016 after previously holding an Associate Professor position in Inclusive Education at the University of Manitoba. Renowned for creating the Three Block Model of Universal Design for Learning (UDL), her framework is now implemented across Canadian school divisions to advance inclusive educational practices. Dr. Katz's research centers on inclusive education K-12 , social and emotional learning (SEL) , and mental health promotion in schools . Her work integrates the Three Block Model of UDL to address diverse student needs while emphasizing indigenous perspectives through extensive collaboration with First Nation elders and communities in Manitoba, Alberta, and Quebec. This intersectional approach reimagines inclusive education through reconciliation frameworks and culturally responsive practices. Analysis of her recent publications reveals consistent focus on mental health literacy programs for students with developmental disabilities, UDL's impact on academic achievement and teacher efficacy, and the integration of Indigenous knowledge systems. Her research bridges theory and practice through classroom-based interventions, cluster-randomized trials, and transformative learning frameworks that prioritize student well-being and social inclusion. Scientific Awards: No scientific awards were documented in the provided sources. Advising and Grants: While specific graduate students and research grants aren't detailed in the text, Dr. Katz's extensive publication record and community partnerships indicate active research leadership. Her work with school divisions across Canada suggests significant program implementation funding, though grant specifics remain unreported. Labs and Teams: Dr. Katz maintains critical partnerships with First Nation communities, embedding Indigenous knowledge into educational frameworks. Her Three Block Model implementation involves multi-school division collaborations nationwide, creating practitioner-researcher networks focused on inclusive classroom transformation.

• Inclusive Education
• Social and Emotional Learning (SEL)
• Mental Health in K-12
• +۳ مورد دیگر

David A. Stephens is a Professor in the Department of Mathematics and Statistics at McGill University, Montreal. He served as Chair of the Department from 2015 to 2019 and as Vice-Dean in the Faculty of Science from 2019 to 2025. His research focuses on Bayesian inference, biostatistics, causal inference, bioinformatics, and statistical genetics. He holds prestigious fellowships: International Statistical Institute (2015), American Statistical Association (2019), and Royal Society of Canada (2024). His work addresses challenges in epidemiology, HIV transmission dynamics, and clinical trial design. Key research themes include: Bayesian hierarchical modeling for infectious diseases (e.g., SARS-CoV-2, HIV) Causal inference in dynamic treatment regimes Survival analysis and censored data methods Statistical genomics and epigenetics His publications analyze public health trends, such as HIV transmission clusters in Quebec and SARS-CoV-2 seroprevalence in Canada. Methodologically, he develops novel techniques for time-series analysis, recruitment forecasting in clinical trials, and computational statistics. Notable contributions include: Advancing phylogenetic cluster inference in HIV studies Optimizing warfarin dosing strategies via SMART trials Modeling gut microbiota impacts on growth faltering in infants His academic leadership includes roles at McGill and prior experience at Imperial College London. His work bridges statistical theory and practical healthcare applications, emphasizing interdisciplinary collaboration.

• Bayesian Inference
• Biostatistics
• Causal Inference
• +۳ مورد دیگر

Roger Tam is an Associate Professor in the School of Biomedical Engineering (SBME) at the University of British Columbia (UBC), with a joint appointment in the Department of Radiology. He is also the Associate Director of Graduate Studies. His research focuses on machine learning and computer vision applied to medical imaging, particularly in personalized medicine and quantitative image analysis. Tam earned his PhD in computer science from UBC in 2004, specializing in computational geometry and visualization. Education: PhD in Computer Science, UBC (2004) MSc in Computer Science BSc (Honors) Research Interests: Medical imaging biomarkers Machine learning applications in healthcare Quantitative image analysis Personalized medicine His work bridges computer science and clinical medicine, emphasizing translational approaches to improve diagnostic accuracy and patient outcomes. Recent Research Trends: Focus on myelin content analysis in neurological disorders (e.g., multiple sclerosis) Development of efficient machine learning models for medical image classification Impact of physical activity on white matter health Labs & Programs: Directs the Engineers in Scrubs program, which integrates engineering principles into biomedical education. Active in collaborative research initiatives like the Centre for Brain Health and the Canadian Prospective Cohort Study (CanProCo).

• Medical Imaging
• Machine Learning
• Quantitative Image Analysis
• +۳ مورد دیگر

Abhinav Sharma, MD, PhD is an Assistant Professor in the Department of Medicine, Division of Cardiology at McGill University and a Scientist at the Research Institute of the McGill University Health Centre (RI-MUHC), where he is affiliated with the Centre for Outcomes Research and Evaluation (CORE) and the Cardiovascular Health Across the Lifespan program. Education & Training While specific degrees are not detailed in the supplied text, his dual MD and PhD credentials indicate combined clinical and research training, most likely in medicine and either epidemiology, health-informatics or cardiovascular sciences. Research Interests Dr Sharma’s work centres on digital health and precision cardiovascular medicine . His team investigates: Mobile-health and remote-monitoring technologies to drive behaviour change and improve clinical outcomes in heart failure and diabetes. Artificial-intelligence–driven digital biomarkers and voice-assistant systems for scalable clinical screening. Large-scale secondary analyses of landmark trials (CANVAS, CREDENCE, EMPA-REG, EXAMINE, TOPCAT) to dissect heterogeneous cardiovascular phenotypes, sex-specific responses and regulatory implications. Publication Trends Across >100 manuscripts since 2018, three thematic arcs emerge: Pharmacotherapy Trials & Meta-analyses evaluating SGLT2 inhibitors, GLP-1 receptor agonists and mineralocorticoid antagonists across heart-failure and diabetic cohorts. Digital-Health Intervention Studies including RCT protocols (TARGET-HF-DM, DECIDE-CV) and validation of AI voice-screening for COVID-19 exposure in cardiology clinics. Precision-Medicine Analytics employing unsupervised machine-learning to delineate phenotypic clusters predictive of cardiovascular and renal events. Scientific Awards & Recognition No specific honours or prizes are listed in the provided text. Grants & Clinical Trials Dr Sharma is principal architect of several multicentre programmes: TARGET-HF-DM – mobile-health intervention to enhance physical activity and medication adherence in heart failure with comorbid diabetes. DECIDE-CV – synchronous telehealth model for integrated cardiorenal care in type 2 diabetes. SOGALDI-PEF – factorial RCT of SGLT2 inhibition ± aldosterone antagonism in heart failure with preserved ejection fraction. Laboratory & Collaborations Operating within the RI-MUHC ecosystem, his research group leverages the institute’s Technology Platforms (Bioinformatics, Clinical Informatics, Proteomics, Small-Animal Imaging) and maintains partnerships across McGill’s Department of Epidemiology, the MUHC cardiac e-health clinic, and international consortia such as the Heart Failure Collaboratory (HFC) and the Academic Research Consortium (ARC).

• Digital health
• Cardiovascular disease
• Diabetes mellitus
• +۳ مورد دیگر

Dr. Ahmed Al-Jaishi is an Adjunct Professor in the Department of Epidemiology and Biostatistics and a Research Scientist at the Schulich School of Medicine & Dentistry at Western University. He also holds positions as an Adjunct Scientist with ICES and Senior Epidemiologist at the Public Health Agency of Canada. Education: Ph.D. in Health Research Methodology, McMaster University (2021) M.Sc. in Epidemiology and Biostatistics, Western University (2013) B.Sc. in Biological Sciences, University of Guelph (2010) His research focuses on methodologies for pragmatic randomized controlled trials, with specialization in cluster-randomized designs. Primary research domains include: Clinical trial design and registry-based methodologies Health services research in nephrology (particularly hemodialysis) Population-based epidemiological studies Statistical methods for cluster trials Recent publications demonstrate strong thematic focus on hemodialysis care innovations, COVID-19 impacts on vulnerable populations, autism spectrum disorder epidemiology, and advanced statistical methodologies. Articles frequently utilize registry data, cluster-randomized designs, and health administrative databases across Canadian and international contexts. Dr. Al-Jaishi is actively engaged in training future epidemiologists and biostatisticians through hands-on mentorship in advanced research methodologies.

• Randomized clinical trials
• Cluster Randomized Trials
• Health Services Research
• +۲ مورد دیگر

Glen McGee is an Assistant Professor in the Department of Statistics and Actuarial Science at the University of Waterloo. He holds a PhD in Biostatistics from Harvard University and a BScH in Mathematics from Queen's University. His research focuses on developing statistical tools for epidemiology, environmental health, and health policy, with a particular emphasis on environmental mixture analysis, cluster-correlated data modeling, and outcome-dependent sampling methodologies. Education : PhD in Biostatistics, Harvard University BScH in Mathematics, Queen's University Research Interests : McGee advances methodologies for analyzing complex environmental mixtures and their health impacts, including incorporation of biological knowledge into statistical frameworks. His work addresses challenges in multigenerational studies, informative cluster sizes, and measurement error correction in case-crossover designs. Key application areas include hospital profiling, exposure misclassification, and longitudinal health data analysis. Research Trends : His publications emphasize Bayesian methods for mixture modeling, innovative sampling strategies for clustered data, and causal inference techniques. Notable contributions include frameworks for integrating biological pathways into environmental health analyses and developing efficient sampling approaches for healthcare performance evaluation. Grants & Labs : McGee collaborates on projects involving CMS data applications and maintains GitHub repositories like hospODS for hospital profiling methodology implementation. His work bridges statistical theory with practical public health applications, particularly in environmental epidemiology and healthcare analytics.

• Biostatistics
• Epidemiology
• Environmental Health
• +۳ مورد دیگر

Janine Olthuis is an Associate Professor in the Department of Psychology at the University of New Brunswick (UNB), located in Fredericton. Her research focuses on expanding access to evidence-based psychological interventions, particularly through the integration of physical activity, transdiagnostic approaches, and distance-delivered care. She holds a PhD in Clinical Psychology from Dalhousie University and a BA (Honors) from Smith College. Her academic roles include teaching undergraduate courses such as Abnormal Psychology and Community Psychology, and graduate courses in Cognitive Behavioural Therapy. Olthuis has been recognized with awards including the 2023 UNB Merit Award and multiple teaching nominations. Her work spans athlete mental health, anxiety sensitivity, and substance use, with a focus on innovative intervention designs. Research interests include: Physical activity’s role in mental health treatment Transdiagnostic interventions targeting shared risk factors (e.g., anxiety sensitivity) Distance-delivered therapies (e.g., internet-based care) Psychosocial factors in athlete substance use Recent publications highlight her contributions to topics such as athlete alcohol consumption, anxiety sensitivity profiles, and telehealth interventions for PTSD. She actively mentors graduate and undergraduate students in these research areas. Awards and recognitions include: 2023 Merit Award (UNB) 2014 Canadian Institutes of Health Research Postdoctoral Fellowship 2010-2013 Vanier Canada Graduate Scholarship Her advising and grant activities include supervising students in experimental and clinical studies. While no specific labs are listed, her research collaborations involve institutions like Dalhousie University and the Strongest Families program.

• Psychological Interventions
• Anxiety Disorders
• Cognitive Behavioral Therapy
• +۵ مورد دیگر

Paul Gustafson is a Professor and Head of the Department of Statistics at the University of British Columbia's Faculty of Science. He holds a faculty position at the Vancouver Campus and can be contacted via gustaf@stat.ubc.ca. His research focuses on advanced statistical methodologies with applications in epidemiology, public health, and clinical research. Key interests include Bayesian analysis, causal inference, measurement error correction, and meta-analysis. Dr. Gustafson's work emphasizes methodological innovations in handling complex data challenges such as exposure misclassification, missing data, and observational study biases. He collaborates on projects addressing opioid use disorder treatment efficacy, infectious disease epidemiology, and health policy. Current advisees include Nathaniel Wu Dyrkton, Daniel Daly Grafstein, Seren Lee, Yuan Xia, and Mallory J Flynn. His research outputs span statistical theory, applied public health studies, and computational methods. Recent work highlights include Bayesian approaches to sample size determination, probabilistic bias analysis in diagnostic studies, and frameworks for evaluating treatment benefit predictors using observational data. Dr. Gustafson is also involved in global initiatives such as the Zika Virus Individual Participant Data Consortium. Notable methodological contributions include developing techniques for partially identified models, correcting measurement errors in health surveys, and advancing causal inference methodologies. He has contributed to R packages like rtestim for epidemic modeling and CRTpowerdist for cluster randomized trial analysis.

• Biostatistics
• Epidemiology
• Bayesian Analysis
• +۳ مورد دیگر

Michal Abrahamowicz, PhD is a Senior Scientist at the Research Institute of the McGill University Health Centre (RI-MUHC) and Professor in the Department of Epidemiology, Biostatistics and Occupational Health at McGill University's Faculty of Medicine and Health Sciences. He is affiliated with the Cardiovascular Health Across the Lifespan Program and the Centre for Outcomes Research and Evaluation (CORE) at RI-MUHC. His research focuses on developing innovative statistical methodologies for clinical and biomedical data analysis, particularly in survival analysis. Key areas include modeling time-varying and cumulative effects of risk factors and treatments, and addressing biases in observational studies. He co-founded and co-chairs the international STRATOS initiative (www.stratos-initiative.org), involving over 100 statisticians from 18 countries, aimed at improving analyses of observational studies. From 2011-2019, he served as Principal Investigator of the CAN-AIM network, funded by the Canadian Institutes for Health Research, which brought together over 45 faculty members from 12 Canadian universities for drug safety and effectiveness research. His recent publications demonstrate a strong focus on methodological advances in biostatistics, particularly in survival analysis, causal inference, and flexible modeling techniques. His work spans applications in cardiovascular diseases, cancer epidemiology, pharmacoepidemiology, and arthritis research, with an increasing emphasis on practical implementation of statistical methods in clinical research. Abrahamowicz leads major collaborative research initiatives including large clinical trials and longitudinal population-based studies. His research methodology work directly informs applications in real-world clinical and epidemiological studies, creating a strong bridge between theoretical statistics and practical healthcare research.

• Biostatistics
• Survival Analysis
• Pharmacoepidemiology
• +۵ مورد دیگر

Dr. Robyn Tamblyn is a Professor in the Department of Medicine, Division of Clinical Epidemiology at McGill University's Faculty of Medicine and Health Sciences. She serves as a Senior Scientist at the Research Institute of the McGill University Health Centre (RI-MUHC) within the Cardiovascular Health Across the Lifespan Program and the Centre for Outcomes Research and Evaluation (CORE). Dr. Tamblyn's research focuses on conducting observational and interventional studies in public health and health services delivery aimed at improving healthcare safety and quality. Her work centers on identifying modifiable determinants of adverse events and improved health outcomes through analysis of large linked clinical and administrative databases. She leads a research team that develops and evaluates computer-enabled interventions to address modifiable risk factors, including computerized decision-support systems, personal health record portals, self-management tools, and automated surveillance systems. Analysis of Dr. Tamblyn's publication record reveals a strong emphasis on medication safety, pharmacoepidemiology, and healthcare informatics. Her research spans multiple domains including medication adherence, inappropriate prescribing, deprescribing interventions, medication reconciliation, and the use of electronic health records for pharmacosurveillance. A notable trend in her work is the development and evaluation of technology-enabled interventions to improve medication management and reduce adverse drug events across various healthcare settings. As a Senior Scientist at RI-MUHC, Dr. Tamblyn leads research initiatives within the Centre for Outcomes Research and Evaluation, focusing on healthcare quality improvement and patient safety. Her work bridges clinical medicine, epidemiology, and health informatics to address critical gaps in healthcare delivery systems. She collaborates extensively with clinicians, pharmacists, and health services researchers to implement evidence-based interventions that directly impact patient care.

• health services
• medical education
• medical informatics
• +۴ مورد دیگر

Jessica Spence serves as an Assistant Professor in the Department of Anesthesia at McMaster University, Faculty of Health Sciences. Her clinical and research focus lies in perioperative medicine, with a specialization in cardiac anesthesia and outcomes research. She is an active investigator in several large international studies including the VISION cohort and the POISE-3 randomized controlled trial. Her primary research interests include postoperative delirium, particularly in cardiac surgery patients, and postoperative atrial fibrillation. She also investigates blood pressure management during cardiac surgery, myocardial injury after noncardiac surgery, and the impact of anesthesia techniques on patient outcomes. Her work often employs systematic reviews, meta-analyses, and large cohort studies. Recent publications reveal a strong emphasis on delirium prevention strategies, such as the Benzodiazepine-Free Cardiac Anesthesia (B-Free) trial, and risk prediction using polygenic risk scores. Her research spans clinical trials, observational studies, and methodological work in perioperative medicine. Dr. Spence has been involved in significant research initiatives including the VISION study, which examines vascular events in noncardiac surgery, and the POISE-3 trial, which tests strategies to minimize hypotension and use of tranexamic acid. She has also contributed to understanding gender disparities in cardiovascular research funding through CIHR.

• Postoperative Delirium
• Cardiac Anesthesia
• Atrial Fibrillation
• +۳ مورد دیگر

Melissa Pirrie is a Research Fellow at McMaster University's Faculty of Health Sciences, Department of Health Research Methods, Evidence, and Impact, with a significant research focus on health equity and vulnerable populations. She serves as Instructor for the course 'Social Determinants of Population Health in Canada - HLTHAGE 3K03' and has published extensively on community health interventions targeting social housing residents and older adults. Her research encompasses critical areas of public health: Health Equity and healthcare access disparities Health Systems innovation and evaluation Population health interventions for vulnerable groups Health promotion and disease prevention strategies Psychosocial and behavioral determinants of health Community paramedicine program effectiveness Dr. Pirrie's scholarly work demonstrates a strong emphasis on community-based interventions for vulnerable populations, particularly older adults in social housing. Through cluster-randomized trials and population-based studies, she has evaluated community paramedicine programs (CP@clinic, CP@home) that improve health outcomes while reducing healthcare system strain. Her research bridges public health, geriatrics, and emergency medicine with particular attention to chronic disease management, mental health, and social determinants of health. Her publications have appeared in high-impact journals including JAMA Network Open, Journal of Epidemiology and Community Health, and BMC series journals. Her work on social housing residents during the pandemic has been widely disseminated, referenced in policy documents, and picked up by numerous news outlets. She has contributed to capacity building among early career researchers in community-based primary health care, demonstrating her commitment to advancing the field through mentorship and collaboration.

• Health Equity
• Health Systems
• Health and Health Care
• +۳ مورد دیگر

Ben Mortenson is an Associate Professor and Department Head at the Department of Occupational Science & Occupational Therapy , Faculty of Medicine , University of British Columbia , with an adjunct appointment at Simon Fraser University . His research focuses on aging , assistive technology , spinal cord injury , and social participation , supported by affiliations with the Centre for Aging SMART and ICORD research clusters. B.Sc. Occupational Therapy (University of Alberta) M.Sc. Rehabilitation Sciences (UBC) Ph.D. Rehabilitation Sciences (UBC) Post-Doctoral Fellowships: University of Montreal & Simon Fraser University His research integrates disability studies , rehabilitation science , and human-centered technology design , emphasizing community-based participatory research and interdisciplinary collaboration . Recent projects examine pandemic impacts on disability populations, power-assist wheelchair technologies, and virtual reality applications for dementia care. Key trends in his 2024-2025 publications include: Poststroke rehabilitation with wearable devices Accessibility solutions for childcare services Walkability/wheelability assessment tools Self-management programs for spinal cord injury Virtual reality in long-term care Mental health impacts of pandemic restrictions Scientific recognitions include the CIHR New Investigator Award (2016-2021) and the 2021 Award for Innovative Practice from the Canadian Association of Occupational Therapy. He supervises graduate students like Haopu (Lily) Ren, whose work explores interdisciplinary dementia care technology implementation. As Principal Investigator at ICORD , he leads studies such as the dEMAND Study , INTOCARE Study , and SCOOT Study , focusing on mobility, aging, and assistive technology outcomes.

• Accessibility
• Aging
• Assistive technology
• +۷ مورد دیگر

Nandini Dendukuri, PhD is a Scientist at the Research Institute of the McGill University Health Centre (RI-MUHC) at the 5252 de Maisonneuve site. She holds dual affiliations with the Infectious Diseases and Immunity in Global Health Program and the Centre for Outcomes Research and Evaluation (CORE). Academically, she serves as an Associate Professor in the Department of Medicine, Faculty of Medicine and Health Sciences at McGill University, specifically within the Division of Clinical Epidemiology at the MUHC. Dr. Dendukuri's research program centers on the development of advanced statistical methodologies for diagnostic test accuracy evaluation in the absence of perfect reference standards. Her work spans Bayesian inference, latent class modeling, and meta-analysis techniques specifically designed for diagnostic accuracy studies. She has made seminal contributions to addressing methodological challenges such as conditional dependence between diagnostic tests, verification bias, and limitations of composite reference standards. Her research bridges theoretical statistical methodology with practical applications in infectious disease diagnostics, particularly tuberculosis where perfect reference tests are often unavailable. An analysis of Dr. Dendukuri's extensive publication record reveals consistent innovation in diagnostic test methodology with increasing sophistication in statistical modeling approaches. Her recent work (2024-2025) demonstrates expansion into diverse application areas including cardiovascular disease, emerging infectious diseases like COVID-19, and novel diagnostic technologies, while maintaining her core methodological focus. Her publications show particular strength in applying latent class models to complex diagnostic scenarios across multiple disease domains. Dr. Dendukuri actively collaborates with researchers across multiple disciplines, particularly in epidemiology, infectious diseases, and technology assessment. Her work with hospital-based technology assessment units has directly contributed to translating scientific evidence into healthcare policy. She maintains strong connections between statistical theory and practical healthcare applications, frequently developing software implementations (particularly rjags programs) of her methodological innovations to facilitate adoption by the research community.

• Biostatistics
• Diagnostic Test Accuracy
• Bayesian Inference
• +۵ مورد دیگر

Dr. Andre Lamy is a Professor in the Department of Surgery at McMaster University and a cardiac surgeon at Hamilton Health Sciences . He is also a scientist at the Population Health Research Institute (PHRI) . His research focuses on cardiac surgery , particularly off-pump CABG versus on-pump CABG , anticoagulant therapies, and graft patency. He has led major trials such as the CORONARY Trial , COMPASS-CABG , and VISION-Cardiac Surgery , and recently completed the DEPOSITION Trial on topical tranexamic acid. His work spans health economics and clinical trials in cardiovascular disease, with expertise in perioperative medicine , troponin biomarkers , and anti-inflammatory therapies . His publications highlight cost-effectiveness analyses of anticoagulants, graft selection, and postoperative complications like delirium and acute kidney injury . He collaborates with pharmaceutical companies to develop novel therapies for cardiac surgery patients. His recent studies, including ARTEMIS and PERFORM-TAVR , address organ protection and frailty reversal in older adults. He is actively involved in consensus definitions for perioperative endpoints and remote monitoring technologies post-surgery.

• Cardiac Surgery
• Health Economics
• Clinical Trials
• +۳ مورد دیگر