Abdal is a consultant at Barnett Waddingham with over 10 years of experience working in the life insurance industry in the United Kingdom. Abdal specializes in Solvency II reporting, risk calibrations, proxy modelling and capital management and has delivered a number of projects in these areas for large UK based life insurance companies. Abdal has been working on the applications of Machine Learning techniques to the optimization of the Solvency II Internal Model SCR calculations.
Miruna is an Associate Actuary at Milliman with 4 years of experience working in both life and general insurance in the United Kingdom. Miruna worked on several projects involving Machine Learning applications and analytics in proxy modelling and risk pricing.
Re-Mi is an associate professor at Notre Dame University-Louaize and Academic Advisor for graduate and undergraduate program in Actuarial Sciences with more than ten years of experience in modelling, estimation, prediction, analysis, econometrics and computational statistics. Re-Mi’s research interests and teaching topics include non-parametric estimation, statistical learning, statistical inference, computational statistics, optimisation, Machine Learning, modelling in actuarial science, engineering, finance and biology.
Michael is a Principal with Milliman with over 15 years of experience working in the life insurance industry, notably in Germany and the United Kingdom. Michael specializes in risk modelling, e.g. in the context of Solvency II Internal Models, and actuarial systems transformation. Michael leads an R&D task force developing Machine Learning applications to actuarial modelling and reporting.