معرفی
Samuel Gyamerah is a Postdoctoral Fellow at the University of Waterloo under the supervision of Ruodu Wang and Alex Schied, active from September 2023 to 2025. His research focuses on interdisciplinary applications of quantitative methods in finance, climate science, and actuarial science. Key areas include stochastic modeling of weather derivatives, systemic risk analysis in banking networks, and machine learning-driven predictive analytics in healthcare and agriculture.
Education: Samuel holds prior academic affiliations with Kwame Nkrumah University of Science and Technology, as indicated by his 2014 research contributions. His work bridges theoretical advancements with practical solutions, such as optimizing crop yield forecasts and mitigating financial risks through innovative modeling techniques.
Research Trends: His publications highlight a strong emphasis on climate-related financial instruments, geopolitical risk transmission, and the integration of advanced statistical methods (e.g., wavelet coherence, hybrid machine learning models) into diverse fields. Notable contributions include frameworks for longevity bond pricing under geopolitical volatility and state-space models for long-term bond valuation.
Advising & Grants: While no formal advisees are listed, his postdoctoral work suggests active collaboration in grant-funded projects exploring systemic risk, green bonds, and agricultural resilience. His research has been applied to real-world challenges like Ghana’s National Health Insurance Scheme and SME digital transformation strategies.
Labs/Teams: Engaged in collaborative projects at the intersection of finance, climate science, and data science, likely contributing to interdisciplinary research groups at the University of Waterloo.
