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Michelle Cipullo

Associate Director

Aon Impact Forecasting

Michelle Cipullo is an expert in atmospheric sciences, specializing in the development of natural catastrophe models for various atmospheric perils. With over a decade of experience in modeling extreme weather events, she currently serves as the associate director at Impact Forecasting, a team within Aon dedicated to catastrophe modeling. Recently, she contributed to the development of the new Impact Forecasting US Severe Convective Storm model.

Before joining Aon, she was an atmospheric modeler at Jupiter Intelligence, where she focused on climate change risk assessment and the long-term implications of various atmospheric perils worldwide. Her career also includes seven years at AIR Worldwide, where she worked in the research department, contributing to the creation of catastrophe models for atmospheric perils, including convective storm models and extratropical cyclone models for the US, Canada, and Europe.

Michelle earned her Master of Science in Atmospheric Science from North Carolina State University. Her research thesis examined the risks associated with European Windstorms and the potential impacts of climate change on these weather systems.

SESSIONS

Day 2

9:40

USCS: An Exclusive Deep Dive into Innovative New CAT Models

  • Spatial distribution by subperil – how is this evolving in a changing climate?

  • Vulnerability comparison by subperil – what data do we have to support this?

  • Calibration with historical losses – how do EP curves compare with recent events?


Moderator: Elizabeth Harris, Vice President of Modeling and Research, Ariel Re


Tal Paschal, Senior Product Manager, CoreLogic

Brandon Katz, Executive Vice President, Strategy, KatRisk

Michelle Cipullo, Associate Director, Aon Impact Forecasting

CONTACT US

207 Regent Street, 3rd floor, London, W1B 3HH, United Kingdom
Phone: +44 20 3970 5418
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The 2025 CAT Risk Management & Modelling Summit is now CPD Accredited. Attendees will receive 9 points per day, with a certificate immediately following the event.

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