Dr. Michel Dacorogna
Prof. Paul Embrechts (ETH Zürich, Switzerland)
Paul Embrechts, Emeritus Professor of Mathematics at the ETH Zurich, is specialized in actuarial mathematics and quantitative risk management. Previous academic positions include the Universities of Leuven, Limburg and London (Imperial College). Dr. Embrechts has held visiting professorships at the University of Strasbourg, ESSEC Paris, the Scuola Normale in Pisa (Cattedra Galileiana), the London School of Economics (Centennial Professor of Finance), the University of Vienna, Paris 1 (Panthéon-Sorbonne), the National University of Singapore, Kyoto University, and has an Honorary Doctorate from the University of Waterloo, the Heriot-Watt University, Edinburgh, and the Université Catholique de Louvain. He is an Elected Fellow of the Institute of Mathematical Statistics, Actuary-SAA, Honorary Fellow of the Institute and the Faculty of Actuaries, Corresponding Member of the Italian Institute of Actuaries, Member Honoris Causa of the Belgian Institute of Actuaries and is on the editorial board of numerous scientific journals. He belongs to various national and international research and academic advisory committees. He co-authored the influential books "Modelling of Extremal Events for Insurance and Finance", Springer, 1997 and "Quantitative Risk Management: Concepts, Techniques, Tools", Princeton UP, 2005. Dr. Embrechts consults on issues in quantitative risk management for financial institutions, insurance companies and international regulatory authorities.
Prof. Monique Jeanblanc (Evry University, France)
Prof. Bent Nielsen (Oxford University, UK)
Bent Nielsen (Ms in insurance mathematics & PhD in Statistics & Econometrics, University of Copenhagen) is Professor in Econometrics, Department of Economics at the University of Oxford and Fellow of Nuffield College. His research fields are the theory of econometric modeling and forecasting, working on the analysis of non-stationary time series with random walk or explosive features, model selection, cohort analysis, reserving in general insurance. He is the co-author, with Sir David Hendry (Oxford Univ.), of the popular book: Econometric Modeling: A Likelihood Approach,Princeton Univ. Press, 2007.Currently he is interested in the theoretical properties of algorithms such as the Forward Search and Autometrics, and cohort models such as the age-period-cohort model and the chain ladder method used to forecast future liabilities in general insurance. He is also member of the Programme for Economic Modelling, which is part of Institute for New Economic Thinking at the Oxford Martin School.
Dr. Florence Picard (Institut des Actuaires, France)
Florence Picard (graduated from the Statistics Institute ISUP and in Cognitive Psychology, Doctorate in Mathematics from UPMC) is a member of the French “Institut des Actuaires”. Since 1982, she held different executive positions and is member of the board, in financial and insurance companies: Compagnie Financière Edmond de Rothschild, SIACI Saint Honoré, Midland Bank, Groupama, LCL. She is now in charge of the Scientific Committee of the Institut des Actuaires, as well as of its ‘Big Data’ Project. Her current interest is in machine-learning algorithms needed to process Big Data arising from Internet search and monitoring, but also in ethics and privacy aspects emerging from this problem.
Dr. Dirk Tasche (FINMA, Switzerland)
Dirk Tasche (Doctorate in Probability Theory, Berlin University of Technology) is a technical specialist at FINMA. Before joining FINMA, he worked at the Prudential Regulation Authority at the Bank of England, for Lloyds Banking Group, Fitch Ratings and the Deutsche Bundesbank. Dirk’s main scientific interests are credit risk modelling and the theory and applications of risk measures. He has published a number of papers on quantitative risk management. In March 2013, Dirk was appointed visiting professor in the Mathematics Department of Imperial College where in the spring term 2014 he taught a course on "Quantitative Risk Management" for MSc students in Mathematics and Finance.