Skip to main content
Article

UCL's EPICentre Encounters

Reinsurance|Corporate Risk Consulting
N/A

By Dr. Rosa Sobradelo | August 5, 2019

The Willis Research Network (WRN) and Willis Re talk about the role of science to inform business decisions at the UCL EPICentre encounters. The two-day knowledge exchange event in London was meant to bring together researchers, academics, practitioners and industry partners working at the nexus between risk, environmental hazards and the built environment.

WRN member the UCL EPICentre organised encounters on Innovation in disaster risk reduction and resilience. The WRN was part of a panel of speakers talking about how new methodologies and technologies are being used to assist decision-making in complex risk scenarios. Representatives from the Industry and Academia shared thoughts on how we make use of leading science to inform business decisions in an evolving complex risk landscape. The WRN had the opportunity to talk about the various areas of Willis Towers Watson where science plays a role, in Reinsurance, Corporate Risk Consulting and in informing capital and public policy decisions aimed at closing the protection gap in the most vulnerable countries.

Author

Dr. Rosa Sobradelo
Senior Research Manager

Rosa is a Senior Research Manager for the Willis Research Network where she manages the Earth Risk Hub. That is to say research activities in the areas of geological risks such as tsunami, volcanic and earthquake risk with leading academic partners around the world, matching them with business needs to derive tangible outputs to improve our client services. She also works on consultancy projects relating to volcanic hazard and risk. She is a statistician at heart, with a PhD in Applied Statistics and Operations Research from the Polytechnic University of Catalunya, an MSc in Mathematics, Statistics and Operations Research from New York University, and a BSc in Business Administration from University of Santiago de Compostela, and has made a career out of risk building probabilistic models for Health, Finance and Catastrophe Risk.