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. His expertise includes dynamical systems and bifurcation theory that develops methodologies to identify long-term dynamic scenarios of an epidemiological system. He also pioneered a neural network architecture for pattern recognition in high dimensional data. He is also known for his efforts in developing reciprocal linkages and collaborations between public health and mathematics, globally. Since the 2003 SARS outbreak, Dr. Wu has led multiple national teams to develop mathematical technologies to address key public health issues relevant to emerging infectious diseases including SARS, pandemic influenza, Ebola, antimicrobial drug resistance, and Lyme disease.
Research keywords:
Global health; modelling; data analytics
Themes | Global Health & Humanitarianism |
Status | Active |
Related Work | |
Updates |
Opportunity – Postdoctoral Research Fellowship for AL/ML in Modelling and Prediction of Mpox and other (Re) emerging Zoonotic Threats | March 4, 2024
Reflections from the Humanitarian Response Network of Canada’s Triannual Meeting and Sphere Training | September 22, 2023 New Research Show Mpox Outbreak Lead to Stigma and Blame Toward 2SLGBTQIAP+ Community | May 31, 2023 Research Advancing Mpox Research Receives CIHR Funding | May 27, 2023 Dahdaleh Institute researchers contribute to York's achievements towards the United Nation’s 17 Sustainable Development Goals | December 19, 2022 York University welcomes latest York Research Chair appointees | September 6, 2022 |
You may also be interested in...
Hot off the Press – Digital Technologies and Food Security During Crisis: Covid-19 Experiences from Smallholder Farmers in Odisha, India
Since the COVID-19 pandemic, approximately 150 million people experienced hunger due to food insecurity. Digital agriculture technology determines accurate and specific risks in food production, providing farmers valuable insights to market conditions of a region ...Read more about this Post
2024 Year in Review
Thank you for your continued support, engagement, and invaluable contributions to our global health research community here at the Dahdaleh Institute. Happy holidays and cheers to a new year! 1. Nineteen Exceptional Scholars Awarded 2024-2025 Dahdaleh ...Read more about this Post
New Research Presented at EGU and EEHF
This past month, Dahdaleh Global Health Graduate Scholar, Michael De Santi, presented his newest research “ML-QMRA: A novel machine learning tool for linking water quality to health risk in humanitarian contexts” at the European Geosciences ...Read more about this Post