Dr.Nzokem’s work lies at the intersection of applied mathematics, probability theory, and quantitative finance. He develops and analyzes advanced stochastic models to describe complex, real-world systems. His specific academic interests include: * Stochastic Processes & Markov Chains: Modeling the dynamics of random systems evolving over time. * Mathematical Finance: Applying probabilistic frameworks to option pricing, volatility modeling, and financial risk management. * Statistical Modeling for Finance: Utilizing heavy-tailed and tempered stable distributions to capture the non-Gaussian behavior of financial returns. * Computational Methods: Creating and implementing numerical techniques, such as the Fractional Fourier Transform, for model simulation and statistical fitting. * Applied Probability in Epidemiology: Modeling disease transmission and spread using stochastic birth-death processes and other probabilistic frameworks. Through this work, Dr. Nzokem aims to bridge theoretical probability with practical applications in finance, epidemiology, and data-driven modeling.