Past Meetup

Modeling Catastrophe Risk

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Over the past two decades, there has been a step-function in the scientific understanding of natural hazards, from earthquakes to hurricanes and other climatic perils. Yet most of the use cases for this knowledge have centered around the research or forecasting communities, involving highly specialized computing and scientific resources. RMS, since spinning out from Stanford University in 1989, has built its business delivering commercially relevant catastrophe modeling software and analytics to the global financial services industry, enabling business practitioners in the re/insurance sector and investors in catastrophe-linked securities to quantify, manage, and hedge their risks to these perils throughout the world.

In their talk, Hemant and Philippe will discuss these business centric use cases, the modeling approaches behind them, and how the revolution in commercially available and scalable compute and analytic technologies are bringing ‘big science’ out of the lab and enabling corporations to incorporate these insights to the heart of their business processes and workflows.

Agenda:[masked]pm: Registration and Networking (with food and beverages)
6:[masked]pm: Introduction
7:00-7:45pm: Talk by Hemant and Phillippe
7:[masked]pm: Q&A session

About the Speakers: Hemant Shah

Hemant Shah serves as President and CEO of Risk Management Solutions, a company he co-Founded while completing his graduate work at Stanford University. Today, RMS employes over 1,200 professionals, and is widely recognized as the leading catastrophe modeler in the world.

Philippe Stephan

Philippe Stephan serves as RMS’ Chief Technology Officer with responsibility for all of RMS’ modeling and software engineering work. Philippe received his MS in computer science from French Ecole Nationale Superieure des Mines de St. Etienne, and has over 20 years of experience architecting and building complex financial risk management systems, including serving as CTO of San Francisco-based Moody’s KMV,the leading credit risk analytics software company.

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