MLISTRAL”, (M)achine (L)earning in(I)nsurance (S)ector (T)argeted to (R)isk (A)nalysisand (L)osses, is an International Conference that aims to bridge the gap between mathematical theory (especially related to statistical learning theory) and practical applications of Actuarial Sciences in industry.

The Conference is organized as follows: each day a current hot topic for insurance practitioners, with corresponding prestigious academics implicated in such topics. A specific focus will be given to practical issues that can arise when implementing (in Python, R language or else) theoretical solutions to operational frameworks. The topics of this conference are voluntarily very diversified, as the application of Actuarial Sciences can be inreal life applications. Theoretical solutions and operational implementations of traditional issues in Asset and Liabilities Management, Life Insurance, Non-Life Insurance and Reinsurance will be presented. The distinctive structure of talks, and in particular the three one-hour plenary sessions every morning, should help everyone to have a comprehensive understanding of the presented research results. The rest of the Conference is dedicated to shorter talks on one day’s theme. Young researchers have a special opportunity to explain their research findings in plenary sessions, and they are strongly encouraged to attend the Conference and submit papers to be presented.