Parallel Session Speakers

Longevity 17

Parallel Session Speakers

FIX Jean-Marc

Jean-Marc Fix leads Actuarial R&D at Gen Re. He has over 25 years of experience in the life insurance industry, including an extensive background inJ M Fix life and critical illness insurance product development. For the past decade and a half, he has focused on the topic of mortality and is currently active in a number of SOA committees centering on mortality and underwriting. Jean-Marc chairs the Living to 100 Symposium. He is the past (and initial) chair of the Mortality and Longevity Strategic Research Program Steering Committee. He is also a long time member of the Society of Actuaries’ Reinsurance Section Research Team.

He has spoken on a variety of underwriting, product design, claims and reinsurance topics as they relate to actuaries, underwriters and medical directors. He has written articles for On the Risk as well as various actuarial publications.

He received a BA summa cum laude in Mathematics with minors in Chemistry and Computer Science from Whittier College in California.

GUO Yiping

Yiping Guo is a Ph.D. Candidate in Actuarial Science at the University of Waterloo and a Society of Actuaries Hickman Scholar. Prior to his Ph.D.Yiping Guo study, Yiping completed a Master’s degree from the University of Melbourne with a thesis on developing robust statistical machine learning models against outliers. His current research interests lie in utilizing various machine learning techniques to seek rigorous yet interpretable solutions to practical research questions in mortality and climate change risk.

HANEWALD Katja

Katja Hanewald is a Senior Lecturer in the School of Risk and Actuarial Studies and the Coordinator of the Actuarial Co-op Program at UNSWK Hanewald Sydney. She is also the Director of Research of the Ageing Asia Research Hub, which is hosted by the ARC Centre of Excellence in Population Ageing Research (CEPAR). Her research addresses risk management and insurance responses to population ageing. Katja has published in all leading international insurance and actuarial journals (including the Journal of Risk and InsuranceInsurance: Mathematics and Economics and the ASTIN Bulletin) and several major economics journals (including the Journal of Economic Behavior & Organization). Her current research investigates optimal retirement financial decisions of older households and the design of retirement financial products such as reverse mortgages, long-term care insurance, and annuities. She teaches risk management courses.

KLEINOW Torsten

Torsten Kleinow is professor at the University of Amsterdam and director of the Research Centre for Longevity Risk at UvA. His research is focusedT Kleinow on modelling mortality rates in multiple populations, investigating the impact of socio-economic factors on life expectancy, and studying ways to improve projection models and scenario generators for future human mortality rates. Before joining UvA, Torsten used to hold the position of associate professor at Heriot-Watt University

MONTERO Andrey Ugarte

Andrey Ugarte Montero is a graduate assistant and PhD candidate in Actuarial Science at HEC Lausanne, Switzerland. He worked as a consultant inMontero Andrey actuarial services for Ernst & Young, and has a MSc. degree in actuarial science from the University of Lisbon (ULisboa). He is also pursuing actuarial certification as associate/fellow with the Institute and Faculty of Actuaries of the United Kingdom (IFoA). His fields of interest include longevity risks, health and long-term care insurance, social security systems, and data science.

PLOVST Mathias

Mathias D. Plovst is a first year Phd student at Aarhus University – Business and Social Sciences. He researches in the fields of Pension, with a strongMathias Plovst emphasis on mortality risks, pension products, derivatives and green (and alternative) asset classes. His master thesis examined macro longevity risk using a unique data set on a Danish pension fund. Further, he has held lectures on mortality models (Multipopulation models) and has assisted in derivatives lectures.

TAPADAR Pradop

Pradip Tapadar is a Senior Lecturer in Actuarial Science at University of Kent. He is a Fellow of the Institute and Faculty of Actuaries in UK and also aP Tapadar Fellow of the Institute of Actuaries of India. Pradip's doctoral thesis “The impact of multifactorial genetic disorders on long-term Insurance” was researched at Heriot-Watt University. His undergraduate and postgraduate studies were in Statistics at the Indian Statistical Institute, Kolkata, India, and he holds a postgraduate diploma in Actuarial Science from Heriot-Watt University.

Before coming to academia, Pradip has worked in the life insurance industry; his business exposure includes product development, pricing, valuation, financial reporting, and business planning experience with HDFC Standard Life Insurance Company in India and also with Standard Life in UK.

Pradip’s research interests include:

Economic capital and financial risk management of financial services firms and pension schemes; and
Public policy aspects of insurance risk classification.

VILLEGAS Andres Ramirez

Andrés Ramirez Villegas is a Senior Lecturer at the School of Risk and Actuarial Studies at UNSW Sydney and an Associate Investigator at the ARCA Villegas Centre of  Excellence in Population Ageing Research (CEPAR) where he was previously a Research Fellow. He completed his doctoral studies at Cass Business School in London focusing on the projection of mortality and the analysis of socio-economic mortality differentials. Andrés’s research interests include longevity risk management, the design of retirement income products and the application of data analytics techniques in actuarial science and finance. Andrés is committed to the development of tools that can help making academic research more accessible to industry and to the wider actuarial community. He is the developer and maintainer of the R Package StMoMo for stochastic mortality modelling which is now being widely used by researchers, longevity risk managers, insurance supervisors and students around the world.

WIESE Patrick

Patrick Wiese is an actuary in the Society of Actuaries’ (SOA) research department, where he builds simulation models and databaseP Wiese tabulation/visualization tools that cover a diverse range of areas including retirement security, climate change analysis, mortality improvement, and analysis of COVID-19 data. Prior to joining the SOA in 2012, Patrick worked for 10+ years overseas, developing long-range forecasting models of social security and retirement systems in developing countries in Africa, Asia, Eastern Europe and South America.

YUNG Joey

Joey Yung completed her Bachelor of Actuarial Studies degree (Hons) at the UNSW School of Risk and Actuarial Studies in 2021. Joey also workedJoey Yung as a research student at the ARC Centre of Excellence in Population Ageing Research in Sydney. Her research interest includes mortality modelling and data analytical application.

ZHOU Kenneth

Kenneth Q. Zhou is an Assistant Professor of Actuarial Science at Arizona State University in the United States. He received his PhD in ActuarialKenneth Zhou Science from the University of Waterloo in Canada. He is a Fellow of the Society of Actuaries (FSA) and an Associate of the Canadian Institute of Actuaries (ACIA). His research interests include longevity risk management, stochastic mortality modeling, and Bayesian modeling and forecasting. He has published in top-tier statistical, actuarial and insurance journals, including the Journal of the Royal Statistical Society, Insurance: Mathematics and Economics and the Journal of Risk and Insurance.

ZHU Wenjun

Wenjun Zhu is an assistant professor in Nanyang Business School at Nanyang Technological University, Singapore. She received her Ph.D. in theWenjun Zhu Department of Statistics and Actuarial Science, University of Waterloo in 2015. She holds double Bachelor's degree in Economics as well as Mathematics. She is also a winner of the Society of Actuaries James C. Hickman Scholar (2013-15).

Wenjun has been publishing in leading actuarial and insurance journals such as the Journal of Risk and Insurance, North American Actuarial Journal, Insurance: Mathematics and Economics, ASTIN Bulletin, as well as finance journals such as Journal of Banking & Finance. Her research interests systemic risks in finance and insurance, predictive analytics with machine learning, weather risk management and agricultural insurance, and longevity risk management.

Wenjun enjoys teaching. She teaches courses in actuarial science, finance, risk management and insurance. She is the recipient of the 2020 NBS Teaching Excellence Award (TEA). She was also nominated for the MSc Financial Engineering Teacher of the Year Award 2020, as well as NBS Business Teacher of the Year Award 2021.