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Lisa Balboa is a Fellow of the Institute and Faculty of Actuaries (IFoA) and is passionate about actuaries using data science in traditional and emerging fields across insurance, risk management and finance. To stay at the forefront of using data to drive evidence-based business decisions, Lisa is also studying a part-time MSc in Business Analytics at Imperial College Business School. 

Lisa is deputy chair of the IFoA’s Mental Health working party, promoting the consideration of mental health in protection insurance products. Lisa has also undertaken research for the IFoA exploring how predictive analytics could be used to manage morbidity risks. In addition, as a member of the IFoA’s Wearables and Internet of Things Working Party Lisa co-authored a paper published in the British Actuarial Journal on Wearables and the Internet of Things: considerations for the life and health insurance industry.

Prior to her work in the actuarial profession, Lisa studied for an MSc in International Health Policy at the London School of Economics. Her Master’s thesis focused on the implications of wearable technology for insurers. She has published a paper on this topic for the IFoA, presenting her findings at actuarial events both in the UK and internationally

During her undergraduate degree at the University of Cambridge, Lisa researched into sustainable funding models for health systems. She co-authored a case study on lessons from the operational franchise at Hinchingbrooke Hospital which she presented to NHS doctors attending the Cambridge Judge Business School’s Chief Residents’ Leadership and Management Programme.  

Whilst pursuing her academic studies, Lisa was also a company Director of the intergenerational think-tank Global Biotech Revolution (GBR). As President of GBR’s GapSummit 2016 conference she brought together current experts and aspiring leaders in bio-sciences from over 40 nations to discuss the challenges facing the global bio-economy including climate risks, funding pressures and antimicrobial resistance.

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