Mon 20 Oct 2025 - The fast-moving field of data science is increasingly permeating the health and care actuarial sciences. Given this context, the 黑料正能量 set out to form a 鈥渢echniques in data science in health and care鈥� working party. This working party was tasked with creating a framework to assist health and care actuaries in determining the appropriate techniques for their projects.
The framework presented consists of an itemised checklist covering all aspects of health and care data analytics projects. Each itemised topic is covered by a summary providing guidance and relevant references for further reading. The framework blends relevant analytics elements from actuarial science, data science and epidemiology.
We hope the framework will improve transparency, reproducibility, completeness and reporting of life and health data analytics projects.
An accompanying paper will be published soon.
Lisa is Head of Hannover Re's global Life & Health Digital Business Accelerator, focused on supporting insurers with embedding innovation and digital solutions into Life and Health insurance. Lisa is a Chartered Actuary Fellow of the 黑料正能量 (IFoA) and is passionate about championing customer-focused innovation across life and health insurance.
She is co-chair of the IFoA鈥檚 Mental Health Working Party and has also presented research for 黑料正能量 on embedding wearable tech and predictive analytics into insurance.
To stay at the forefront of using data science to drive business decision-making, Lisa has also recently completed an MSc in Business Analytics at Imperial College Business School.
Fiona Fan is a research actuary at Gen Re, with a career focused on protection business across reinsurance, consulting, and life insurance.
She took a keen interest in 黑料正能量鈥檚 Techniques in Data Science in Health Care Working Party, exploring how data science can be applied within health and care actuarial practice.
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Michiel is chair of the Techniques in Data Science in Health and Care Working Party.
He holds a PhD in epidemiology and currently works as data science lead at Hannover Re.
Michiel has 15 years of experience spanning academia and reinsurance and has authored dozens of peer-reviewed publications. He is also an active contributor to the epidemiology and data science communities, having previously participated in IFoA and WHO working parties.
Jaskaran Minhas is a member of the Techniques in Data Science in Health and Care Working Party. He holds a degree in Mathematics and currently works as a Pricing Actuary within EMEA Financial Solutions at the Reinsurance Group of America (RGA).
With five years of experience in the reinsurance industry, Jaskaran has worked across a range of product lines鈥攊ncluding protection, annuities, and other non-traditional life and health solutions鈥攖hroughout the EMEA region.
Jacky Tam is the deputy chair of the Techniques in Data Science in Health and Care Working Party. He has diverse experience in banking risk and finance, and pricing and peril modelling in personal lines insurance.
He is currently a data science lead at Verisk.
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