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Centre of Excellence in Artificial Intelligence for Public Health Advancement (AIPHA) Faculty of Science
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Mathematical Innovations for Precision Public Health

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CREATE-MIPPH

AIPHA’s flagship NSERC-funded training programme, Mathematical Innovations for Precision Public Health (°ä¸é·¡´¡°Õ·¡â€“M±õ±Ê±Ê±á), offers graduate students a unique opportunity to develop interdisciplinary expertise and apply it to real-world public health challenges.

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°ä¸é·¡´¡°Õ·¡â€“M±õ±Ê±Ê±á is an NSERC-funded interdisciplinary training programme that equips graduate students to tackle complex public health challenges using mathematical modelling, artificial intelligence, epidemiology, behavioural science, health economics, and other quantitative methods.

Led by researchers from six Canadian universities and partners across government, public health, healthcare, industry, and data-focused organisations, the programme complements trainees’ graduate degrees with specialised courses, professional development, research rotations, Summer Institutes, and internships. Through collaborative, hands-on training, participants gain advanced technical skills, apply their expertise to real-world problems, and learn to translate research into evidence that informs public health policy and practice – all while building a national professional network.

CREATE Network

Disaster and Emergency Management, School of Administrative Studies, 91ÑÇÉ«

Research areas: Disaster and emergency management; drones for humanitarian and emergency management; artificial intelligence and virtual reality for emergency management; agent-based modeling and simulation; climate change, public health, and cultural heritage; post-disaster recovery and reconstruction; GIS and remote sensing applications in disaster and emergency management; mass vaccination and crowd management

Headshot of Lauren Cipriano

Department of Epidemiology and Biostatistics, Department of Medicine, Schulich School of Medicine & Dentistry, University of Western Ontario

Research areas: Application of statistics, decision analysis, economics, and operations research to health policy problems; economic evaluation of clinical diagnostics and innovative therapeutics; resource allocation; infectious disease policy

Monica Cojocaru

Department of Mathematics and Statistics, University of Guelph

Research areas: Dynamical systems, game theory and applications, emergent dynamics in models of populations; network and equilibrium problems; diverse topics with applications to engineering, management science, population behaviour and health policy

Ava John-Baptiste

Department of Epidemiology and Biostatistics, University of Western Ontario

Research areas: Economic evaluation of public health interventions; decision analytic modelling and simulation to inform health policy; health services research; social determinants of health and health equity

Seyed Moghadas

Department of Mathematics and Statistics, 91ÑÇÉ«

Research areas: Computational epidemiology; agent-based simulations; disease modelling; health economics; AI-based evidence generation and synthesis; public health policy analysis

Nathaniel Osgood

Department of Computer Science, University of Saskatchewan

Research areas: Declarative, compositional & mathematically transparent agent-based & hybrid modeling; systems-data science; participatory engagement in modeling; categorical dynamic modeling and computing; topological data analysis; sheaf-based deep learning & applied topos theory; dynamics of misinformation & disinformation

Shayna Rosenbaum

Department of Psychology, Centre for Integrative and Applied Neuroscience, and Connected Minds, 91ÑÇÉ«

Research areas: Cognitive neuroscience; clinical neuropsychology; aging; neurological disease memory; decision-making; navigation; neuroimaging; public health measures; vaccine hesitancy

Affan Shoukat

Department of Mathematics and Statistics, Department of Computer Science, University of Regina

Research areas: Data science; machine learning; mathematical biology; computational epidemiology; agent-based models; scientific computing

Woldegebriel Assefa Woldegerima

Department of Mathematics and Statistics, 91ÑÇÉ«

Research areas: Intersection of applied mathematics; biology, and artificial intelligence, (i.e., ML-integrated modeling and prediction); disease-informed neural networks; within-host immunity dynamics, multi-time scale epidemiological modelling; singular perturbation analysis

Jianhong Wu

Department of Mathematics and Statistics, 91ÑÇÉ«

Research Areas: Dynamical systems; mathematics for public health; mathematical biology; neural computation and data clustering; interdisciplinary mathematics

Wei Xu

Dalla Lana School of Public Health, University of Toronto

Research areas: Statistical, biostatistics, clinical and genetic research; statistical and machine learning modeling and implementation

Training Programme

Eligibility

Graduate students must have at least two years of study remaining in their degree from a participating university in the CREATE-MIPPH programme. Their primary supervisor must be a member of the CREATE Network. The programme will recruit new graduate students at both MSc and PhD levels in Fall 2027.

Selection for the CREATE-MIPPH programme is based on a competitive process that adheres to the principles of equity, diversity and inclusion (EDI), but does not constitute admission to a university graduate programme. Participation in CREATE-MIPPH is conditional upon meeting the admission requirements and being admitted to the applicable graduate programme at the host university.

Undergraduate students must have already completed their second year of study and still be a full-time student during the summer in order to be eligible for the summer research programme. There are limited spots available for the summer research programme. If you are interested in this programme, reach out to one of the members in the CREATE Network to discuss participation and potential projects.

CREATE-MIPPH Trainee Benefits

  • Specialised interdisciplinary training across an internationally recognised network of researchers
  • Real-world research experience with government, public health, healthcare, and industry partners
  • Research mobility at a participating university outside the trainee's home university
  • Additional $20,000 support for trainee stipend and research-related activities, beyond the home university funding package
  • Career and workforce readiness through technical and professional skills development

Programme Requirements

Available Here

How to
Apply

Application Materials

Professional Development

Event Details

Summer
Institute

Information coming soon

Trainees

Trainees will be added as they are admitted to the programme.

Alumni will be added as trainees graduate.

Contact Us

For general inquiries, please email mipph@yorku.ca.