This profile is built from public research funding records (CIHR, NSERC and SSHRC) and PubMed. We have not imported them from a University of Guelph directory, so their courses and email address may be missing. Find their university profile.
Research
Latest papers
Metabolic Reprogramming Regulates the Proliferative and Inflammatory Phenotype of Adventitial Fibroblasts in Pulmonary Hypertension Through the Transcriptional Corepressor C-Terminal Binding Protein-1.
Circulation · 2016
Latest funding
- $96,860
When Cyberattacks Strike: How Cyber Insurance Shapes Transparency and Recovery
SSHRC · 2026 · Principal investigator
- $120,660
Closing the Climate Protection Gap: Insurance Design, Public Backstops, and Financing Costs
SSHRC · 2025 · Principal investigator
- $38,412
Climate change and property and casualty insurance: a risk management perspective
SSHRC · 2022 · Principal investigator
1 publications.
Metabolic Reprogramming Regulates the Proliferative and Inflammatory Phenotype of Adventitial Fibroblasts in Pulmonary Hypertension Through the Transcriptional Corepressor C-Terminal Binding Protein-1.
Li M, Riddle S, Zhang H, D'Alessandro A, Flockton A, Serkova NJ, Hansen KC, Moldovan R, McKeon BA, Frid M, Kumar S, Li H, Liu H, Caánovas A, Medrano JF, Thomas MG, Iloska D, Plecitá-Hlavatá L, Ježek P, Pullamsetti S, Fini MA, El Kasmi KC, Zhang Q, Stenmark KR
When Cyberattacks Strike: How Cyber Insurance Shapes Transparency and Recovery
Principal investigators: Li, Hong
Closing the Climate Protection Gap: Insurance Design, Public Backstops, and Financing Costs
Principal investigators: Li, Hong
Climate change and property and casualty insurance: a risk management perspective
Principal investigators: Li, Hong
Keywords: Climate Change; Insurance; Deep Learning; Neural Network; Catastrophe Modeling; Product Innovation; Insurance-Linked Securities
Climate change and property and casualty insurance: a risk management perspective
Principal investigators: Li, Hong
Keywords: Climate Change; Insurance; Deep Learning; Neural Network; Catastrophe Modeling; Product Innovation; Insurance-Linked Securities
Stochastic Mortality Modeling and Longevity Risk Management in Multiple-population Context
Principal investigators: Li, Hong
Keywords: stochastic mortality modeling; long-term mortality forecasts; longevity risk management; multiple populations; neural network; random forests; lasso
From CIHR, NSERC and SSHRC funding decisions: CIHR since 2008, NSERC since 1991 and SSHRC since 1998, including their latest published competition results.
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