Jianhong Wu

Jianhong Wu (吴建宏; born in 1964) is a Canadian applied mathematician and the founding Director of the Laboratory for Industrial and Applied Mathematics at York University.[1] He holds the life-time title of University Distinguished Research Professor,[2] and has been a senior Canada Research Chair in Industrial and Applied Mathematics at York University since 2001.[3] In 2017, he was awarded the NSERC/Sanofi Industrial Research Chair in Vaccine Mathematics, Modelling and Manufacturing.[4]

Wu received his PhD degree from Hunan University in 1987 at age 23, making him the university's youngest PhD recipient up to that point.[5][6] He was the first G. Kaplan Award Postdoctoral Fellow at University of Alberta during 1988–90, and joined York University in 1990. He was awarded by the Alexander von Humboldt Foundation an Alexander van Humboldt Fellow at Justus-Liebig-Universitat Giessen, a Paul Erdos Visiting Professor at the Bolyai Institute, a FAPESP Visiting Research Fellow at Universidade de Sao Paulo, a Cheung Kong Visiting Professor (awarded by the Changjiang Scholars Program) at Xian Jiaotong University. He is a Fellow of the Fields Institute.

Professor Wu is the first recipient of the Canadian Applied and Industrial Mathematical Society's Research Prize, for his "very significant contributions in the area of infinite dimensional differential equations with applications to neural networks and population dynamics".[7] He also received the 2019 CAIMS-Fields Industrial Mathematics Prize "in recognition of their many contributions to dynamical systems in mathematical epidemiology and in particular, their collaborative research with public health professionals in government and industry: applying their expert knowledge to infectious disease mitigation strategies and preparedness.".[8] He received the Queen Elizabeth II Diamond Jubilee Medal[9] from the Government of Canada in 2012. He was awarded an honorary doctorate by the University of Szeged in 2016.

He is recognized for his expertise and contribution in the following fields: nonlinear dynamics and delay differential equations; neural networks and pattern recognition; mathematical ecology and epidemiology; big data analytics.[10][11]

He is particularly recognized for his leadership in coordinating interdisciplinary collaboration to develop mathematical technologies to support decision making during a public health crisis. During the 2003 SARS crisis, he was asked by the Canadian Network of Centres of Excellence Mitacs/Mprime and the Canadian SARS Consortium to establish a national interdisciplinary team for the rapid development and analyses of models to inform SARS control strategies. During the 2009 influenza pandemic, he was asked by the Public Health Agency of Canada to coordinate the re-alignment of research and collaboration of key Canadian modellers. His efforts catalyzed multiple national pandemic modelling initiatives. Dr. Wu contributed to several projects that set directions of modeling in advancing our knowledge of infection dynamics of emerging diseases, and his research findings have been adopted by public health agencies in a number of areas. During the COVID-19 pandemic, he was asked by the Fields Institute to establish and lead The National COVID-19 Modelling Rapid Response Task Force; and he is appointed to the following provincial and federal committees: The Province of Ontario COVID-19 Modelling Consensus Table; The PHAC's External Modelling Expert Group of the Public Health Agency of Canada; The Canada's Expert Panel on COVID-19 Subcommittee on Modelling chaired by the Chief Science Advisor of Canada; and the COVID-19 Vaccine Modelling Task Group, National Advisory Committee on Immunization. In these capacities, he has been a major player to provide the mathematical modelling and analyses informing public health decision making. He received the Award of Excellence from the Ontario Ministry of Colleagues and Universities in September 2020.

Dr. Wu led several large-scale interdisciplinary projects including: Transmission Dynamics and Spatial Spread of Infectious Diseases: Modelling, Prediction and Control (funded by the Canadian Network of Centers of Excellenc/NCE Mitacs/Mprime); Geo-simulation tools for Simulating Spatial-temporal Spread Patterns and Evaluating Health Outcomes of Communicable Diseases (funded by the Canadian Network of Centers of Excellenc/NCE Geomatics).Both projects developed a strong academic-public-industry partnership to address key public health issues relevant to emerging infectious diseases including SARS, pandemic influenza, Ebola, Lyme disease and West Nile virus. He also established and co-led the project :Development of an Antimicrobial Resistance Diversity Index (ARDI) to Guide Initiatives and Investment in Public Health, Antimicrobial Stewardship and Infection Control (funded by the Collaborative Health Research Program, a joint effort between the Canadian Institute of Health Research and Natural Sciences and Engineering Research Council of Canada. In 2008, Dr. Wu founded the Centre for Disease Modelling, and in 2016, he became the founding Scientific Director of The Disaster, Emergency and Rapid Response Simulation initiative (ADERSIM).

He is an editor-in-chief of the journal Infectious Disease Modelling.[12]