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Artificial intelligence
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EIDM
EIDM ☜The Emerging Infectious Diseases Modelling Initiative (EIDM) – by the Public Health Agency of Canada and NSERC – aims to establish multi-disciplinary network(s) of specialists across the country in modelling infectious diseases to be applied to public needs associated with emerging infectious diseases and pandemics such as COVID-19. [1]☜F1CEB7
⌃
Research interests
Research interests☜☜9FDEF6
■
Artificial intelligence
Artificial intelligence☜☜9FDEF6
⇤
Bouchra Nasri
Bouchra Nasri☜Professor Nasri is a faculty member of Biostatistics in the Department of Social and Preventive Medicine at the University of Montreal. Prof. Nasri is an FRQS Junior 1 Scholar in Artificial Intelligence in Health and Digital Health. She holds an NSERC Discovery Grant in Statistics for time series dependence modelling for complex data.☜FFFACD
⇤
Christian Muise
Christian Muise☜ Assistant Professor in the School of Computing at Queens University in Kingston, Canada.☜FFFACD
⇤
David Buckeridge
David Buckeridge☜David is a Professor in the School of Population and Global Health at McGill University, where he directs the Surveillance Lab, an interdisciplinary group that develops, implements, and evaluates novel computational methods for population health surveillance. He is also the Chief Digital Health Officer at the McGill University Health Center where he directs strategy on digital transformation and analytics and he is an Associate Member with the Montreal Institute for Learning Algorithms (Mila).☜FFFACD
⇤
Jude Kong
Jude Kong☜Dr. Jude Dzevela Kong is an Assistant Professor in the Department of Mathematics and Statistics at York University and the founding Director of the Africa-Canada Artificial Intelligence and Data Innovation Consortium (ACADIC). ☜FFFACD
⇤
Lorian Hardcastle
Lorian Hardcastle☜Associate Professor in the Faculty of Law at the University of Calgary.☜FFFACD
⇤
M. Ethan MacDonald
M. Ethan MacDonald☜Matthew Ethan MacDonald is an Assistant Professor in the Department of Electrical and Software Engineering, an Assistant Professor in the Centre for Bioengineering Research and Education, an Adjunct Professor in the Department of Radiology in the Cumming School of Medicine, and a Full Member of the Hotchkiss Brain Institute at the University of Calgary.☜FFFACD
⇤
Manuel Morales
Manuel Morales☜I am currently an Associate Professor in the Department of Mathematics and Statistics at the University of Montreal. My specialization is in Financial and Actuarial Mathematics and my current research interests are in the fields of Applied Machine Learning in banking and in responsible investment. Other general fields of interest of mine are Mathematical Finance and Risk Theory.☜FFFACD
⇤
Marina Freire-Gormaly
Marina Freire-Gormaly☜Dr. Marina Freire-Gormaly is an Assistant Professor in Mechanical Engineering Department at the Lassonde School of Engineering at York University. ☜FFFACD
⇤
Nathaniel Osgood
Nathaniel Osgood☜Nathaniel D. Osgood is a Professor in the Department of Computer Science and Associate Faculty in the Department of Community Health & Epidemiology at the University of Saskatchewan.☜FFFACD
⇤
Russell Greiner
Russell Greiner☜Canada CIFAR AI Chair, Fellow-in-Residence at Amii, and Professor of Computing Science & Adjunct Professor of Psychiatry at the University of Alberta.☜FFFACD
⇤
Shashi Shahi
Shashi Shahi☜Dr. Shashi Shahi, Senior Research Professional in the School of Business and Leadership at Yukon University.☜FFFACD
⇤
Zahid Butt
Zahid Butt☜Dr. Zahid Butt is an Assistant Professor in the School of Public Health and Health Systems at the University of Waterloo.☜FFFACD
⇤
Advancing agent-based simulation scalability
Advancing agent-based simulation scalability☜High-fidelity simulation models provide the most accurate representation of the spread of COVID and related diseases but are subject to computational limitations. Agent-based modelling, which treats each individual as a unique agent with objectives/properties/etc., is an example of such a high-fidelity model. The project’s objective is to realize a vastly improved scalability of this type of analysis, using modern techniques in the field of deep learning and AI.☜FFFACD
⇤
Ali Asgary
Ali Asgary☜Associate Professor and Associate Director, Advanced Disaster, Emergency and Rapid Response Simulation (ADERSIM) in the School of Administrative Studies, and Adjunct Professor in the School of Information Technology, at York University.☜FFFACD
⇤
Dongmei Chen
Dongmei Chen☜Professor in the Department of Geography and Planning at Queens University.☜FFFACD
⇤
2021/10/12 Jude Dzevela Kong & Junling Ma
2021/10/12 Jude Dzevela Kong & Junling Ma☜Frameworks for early warning signals of emerging infectious diseases.☜FFFACD
⇤
2021/11/02 Joshua Epstein
2021/11/02 Joshua Epstein☜Triple Contagion: Toward Cognitive Epidemiology☜FFFACD
⇤
Edward Thommes
Edward Thommes ☜Edward W. Thommes is an Adjunct Professor of Mathematics at the University of Guelph and at York University. He is a Global Modeling Lead in the Modeling, Epidemiology and Data Science (MEDS) team of Sanofi Vaccines, an Affiliate Researcher in the Waterloo Institute for Complexity and Innovation (WICI), and a member of the Strategic Advisory Committee for the Mathematics for Public Health program at the Fields Institute.☜FFFACD
⇤
Jianhong Wu
Jianhong Wu☜Professor Jianhong Wu is a University Distinguished Research Professor and Senior Canada Research Chair in industrial and applied mathematics at York University. He is also the NSERC Industrial Research Chair in vaccine mathematics, modelling, and manufacturing. ☜FFFACD
⇤
Monica Cojocaru
Monica Cojocaru☜Professor in the Mathematics & Statistics Department at the University of Guelph. ☜FFFACD
⇤
Venkata Duvvuri
Venkata Duvvuri☜Dr. Duvvuri is an Assistant Professor and leads an interdisciplinary research program advancing genomic surveillance research, development, and practice in the Department of Laboratory Medicine & Pathobiology at the University of Toronto. He is also a Scientist in Machine Learning at Public Health Ontario.☜FFFACD
⇤
Woldegebriel Assefa Woldegerima
Woldegebriel Assefa Woldegerima☜Dr. Woldegerima, knows as Assefa, is an Assistant Professor at the Department of Mathematics and Statistics at York University.☜FFFACD
⇤
Ali Asgary
Ali Asgary☜Associate Professor and Associate Director, Advanced Disaster, Emergency and Rapid Response Simulation (ADERSIM) in the School of Administrative Studies, and Adjunct Professor in the School of Information Technology, at York University.☜FFFACD
⇥
Neural networks
Neural networks☜☜FFFACD
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Actuarial science
Actuarial science☜☜9FDEF6
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Agent-based models
Agent-based models☜☜9FDEF6
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Agriculture
Agriculture☜☜9FDEF6
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Cellular biology☜☜9FDEF6
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Clinical trials
Clinical trials☜☜9FDEF6
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Clostridium difficile
Clostridium difficile☜☜9FDEF6
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Community health
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Conservation
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Contact tracing
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COPD
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Covid-19
Covid-19☜☜9FDEF6
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Data mining
Data mining☜☜9FDEF6
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Decision making☜☜9FDEF6
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Defence☜☜9FDEF6
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Dengue
Dengue☜☜9FDEF6
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Diabetes
Diabetes☜☜9FDEF6
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Digital Twins
Digital Twins☜“A digital twin is a digital model of an intended or actual real-world physical product, system, or process (a physical twin) that serves as the effectively indistinguishable digital counterpart of it for practical purposes, such as simulation, integration, testing, monitoring, and maintenance.” [1]☜9FDEF6
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Dynamical systems
Dynamical systems☜☜9FDEF6
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Ebola
Ebola☜☜9FDEF6
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Ecology
Ecology☜☜9FDEF6
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Economics
Economics☜☜9FDEF6
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Energy
Energy☜☜9FDEF6
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Enteric infections
Enteric infections☜☜9FDEF6
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Environment
Environment☜☜9FDEF6
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Equity
Equity☜☜9FDEF6
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Ethics
Ethics☜☜9FDEF6
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Finance
Finance☜☜9FDEF6
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Food safety
Food safety☜☜9FDEF6
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Food security
Food security☜☜9FDEF6
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Foot and Mouth Disease
Foot and Mouth Disease☜☜9FDEF6
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Forest fires
Forest fires☜☜9FDEF6
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Games
Games☜☜9FDEF6
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Gender
Gender☜☜9FDEF6
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Genomics
Genomics☜☜9FDEF6
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Global health
Global health☜☜9FDEF6
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Graphs
Graphs☜☜9FDEF6
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Health economics
Health economics☜☜9FDEF6
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Hepatitis
Hepatitis☜☜9FDEF6
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HIV
HIV☜☜9FDEF6
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Homelessness
Homelessness☜☜9FDEF6
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Human papillomavirus (HPV)
Human papillomavirus (HPV)☜☜9FDEF6
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Immunology☜☜9FDEF6
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Indigenous health
Indigenous health☜☜9FDEF6
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Influenza
Influenza☜☜9FDEF6
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Informatics
Informatics☜☜9FDEF6
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Insurance
Insurance☜☜9FDEF6
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Livestock
Livestock☜☜9FDEF6
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Lyapunov functions
Lyapunov functions☜☜9FDEF6
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Lyme disease
Lyme disease☜☜9FDEF6
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Machine learning
Machine learning☜☜9FDEF6
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Malaria
Malaria☜☜9FDEF6
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Manufacturing
Manufacturing☜☜9FDEF6
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Markov chain
Markov chain☜Markov chain Monte Carlo methods (McMC)☜9FDEF6
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Mental health
Mental health☜☜9FDEF6
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Microbiology
Microbiology☜☜9FDEF6
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Mobility
Mobility☜☜9FDEF6
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Model‐informed drug development
Model‐informed drug development☜☜9FDEF6
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Mortality
Mortality☜☜9FDEF6
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Mosquitoes
Mosquitoes☜☜9FDEF6
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mpox
mpox☜☜9FDEF6
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Natural resource management
Natural resource management☜☜9FDEF6
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Neisseria meningitidis
Neisseria meningitidis☜☜9FDEF6
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Neural networks
Neural networks☜☜9FDEF6
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Nonpharmaceutical Interventions (NPIs)
Nonpharmaceutical Interventions (NPIs)☜☜9FDEF6
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Nutrition☜☜9FDEF6
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Pathogens☜☜9FDEF6
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Pertussis☜☜9FDEF6
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Physics
Physics☜☜9FDEF6
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Pneumonia
Pneumonia☜☜9FDEF6
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Primary care
Primary care☜☜9FDEF6
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Probiotics
Probiotics☜☜9FDEF6
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Psychology
Psychology☜☜9FDEF6
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Rabies
Rabies☜☜9FDEF6
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Race
Race☜☜9FDEF6
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Respiratory infections
Respiratory infections☜☜9FDEF6
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Respiratory syncytial virus (RSV)
Respiratory syncytial virus (RSV)☜☜9FDEF6
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SARS
SARS☜☜9FDEF6
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Schools
Schools☜☜9FDEF6
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Sentiment analysis
Sentiment analysis☜☜9FDEF6
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Serosurveillance
Serosurveillance☜☜9FDEF6
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Sexually transmitted infections
Sexually transmitted infections☜☜9FDEF6
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Simulation
Simulation☜☜9FDEF6
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Social determinants
Social determinants☜☜9FDEF6
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Social networks
Social networks☜☜9FDEF6
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Sociology
Sociology☜☜9FDEF6
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Spatio-temporal analysis
Spatio-temporal analysis☜☜9FDEF6
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Stem cells
Stem cells☜☜9FDEF6
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Streptococcus pneumoniae
Streptococcus pneumoniae☜☜9FDEF6
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Substance use
Substance use☜☜9FDEF6
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Surveillance
Surveillance☜☜9FDEF6
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Sustainability
Sustainability☜☜9FDEF6
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Syndemics
Syndemics☜☜9FDEF6
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Synthesis
Synthesis☜☜9FDEF6
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Text mining
Text mining☜☜9FDEF6
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Tuberculosis
Tuberculosis☜☜9FDEF6
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Vaccination
Vaccination☜☜9FDEF6
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Wastewater-based surveillance (WBS)
Wastewater-based surveillance (WBS) ☜☜9FDEF6
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West Nile virus☜☜9FDEF6
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Workforce impact☜☜9FDEF6
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Zika☜☜9FDEF6
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David Price
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Entry date (GMT):
11/6/2022 7:11:00 PM
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