Nawaf M.A Mohammed
Department of Mathematics, Actuarial Sciences and Statistics,
University of Central Missouri
Nawaf M.A. Mohammed received his math Ph.D from York University in Canada where he specialized in Actuarial Science, particularly, in the interplay between risk aggregation/allocation and dependence structures. His thesis titled 鈥淎 dependence analysis within the context of risk allocations: Simplex compositions, the notion of counter-monotonicity and heavy-tailed distributions鈥 explores the intricacies of capital allocations and their relationship to random variables with certain probabilistic constructions, and consequently, their implications in managing risk.
Previously, he completed his masters in math at the Central European University, Budapest - Hungary and obtained a bachelors dual degree in math and finance from the American University in Beirut. His work experience includes teaching at the undergraduate level of probability theory, loss models, risk measures and life contingencies as well as a valuable two years at Morgan Stanley Budapest as a model reviewer in the commodities group.
He is excited to be part of the modern risk education and research, tackling today鈥檚 pressing issues and contemplating the possibilities of the future.