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Kelvin Tang is a PhD candidate at the School of Risk and Actuarial Studies at the University of New South Wales (UNSW). His research interests focus on risk theory, aggregate claims analysis, and stochastic processes dependency modeling. Through his academic pursuit, he aims to contribute to the understanding and application of advanced concepts in actuarial science, particularly in designing and valuing innovative financial products such as equity-linked insurance. His work is characterized by a strong analytical framework that integrates statistical methods with practical applications in risk management and insurance. Tang's ongoing research includes exploring the implications of stochastic processes in a variety of actuarial contexts, emphasizing the importance of rigorous analysis in the development of insurance products that meet the evolving needs of risk management in the financial industry.
University of New South Wales • Kensington, NSW, Australia
Teaching undergraduate courses in Risk and Actuarial Studies, guiding students in their understanding of complex actuarial concepts.
Includes Business Intelligence, Enterprise Systems, and Cybersecurity Management streams.