At a broad level, my research interests lie at the intersection of actuarial science and data science. Actuarial science is fundamentally concerned with the modeling and management of risk, utilizing mathematical, statistical, and financial tools to solve problems in insurance, pensions, and other areas involving uncertain future outcomes. Data science is a multidisciplinary field that combines statistics, computer science, and domain expertise to analyze large and complex datasets, uncover patterns, and generate predictive insights.
A list of my publications can be found at Google Scholar.