The Geometry of Modeling with Roof Variables
Roofs are a critical component of any home, directly influencing the overall insurable value and susceptibility to risk. In this session, we will provide an in-depth exploration of roof construction, materials, and complexity, examining how these factors affect the insurable value of a property and its exposure to various levels of risk.
Attendees will gain a comprehensive understanding of how different roofing materials—such as asphalt shingles, metal, and tile—impact both the durability of the roof and the likelihood of claims. We will also explore the role of roof design and construction complexity, discussing how factors like slope, age, and condition can influence the risk of loss. Through data-driven insights, we will illustrate how roofing alters the insurable value of a home and how AI can help with risk assessment, including:
➡️ Understand how different roofing materials and construction complexities impact the insurable value of a home and influence risk exposure.
➡️ Apply data-driven insights to assess the role of roof design and condition in determining insurance risk and loss potential.
➡️ Integrate AI-derived roof attributes into actuarial models to enhance risk segmentation and improve predictive accuracy.
.png)
Register
Our team will contact you with the event details.
The Geometry of Modeling with Roof Variables
Roofs are a critical component of any home, directly influencing the overall insurable value and susceptibility to risk. In this session, we will provide an in-depth exploration of roof construction, materials, and complexity, examining how these factors affect the insurable value of a property and its exposure to various levels of risk.
Attendees will gain a comprehensive understanding of how different roofing materials—such as asphalt shingles, metal, and tile—impact both the durability of the roof and the likelihood of claims. We will also explore the role of roof design and construction complexity, discussing how factors like slope, age, and condition can influence the risk of loss. Through data-driven insights, we will illustrate how roofing alters the insurable value of a home and how AI can help with risk assessment, including:
➡️ Understand how different roofing materials and construction complexities impact the insurable value of a home and influence risk exposure.
➡️ Apply data-driven insights to assess the role of roof design and condition in determining insurance risk and loss potential.
➡️ Integrate AI-derived roof attributes into actuarial models to enhance risk segmentation and improve predictive accuracy.
Learn more about the speakers
Kamela Taleb
Kamela Taleb joined Akur8 as an Actuarial Data Scientist in 2025. She partners with insurers to help them achieve their goals efficiently, leveraging Akur8’s transparent machine learning platform to enhance pricing performance and data-driven decision-making. Over the past eight years, Kamela has held actuarial and pricing roles across a wide range of business lines, including commercial, cyber, natural catastrophe, auto, and construction. At AXA, one of France’s leading insurers, she experienced firsthand Akur8’s strong added value. There, she contributed to developing a new auto pricing structure and strategy using advanced modeling techniques such as GLMs and GBMs, driving greater pricing sophistication and optimization.
Max Martinelli
Max Martinelli is a Managing Director in the Insurance and Actuarial Advisory Services practice of EY, where he focuses on P&C pricing, actuarial data science, applied AI and external rating. He has over a decade of experience in actuarial and data science roles, primarily in predictive modeling for personal and commercial lines, and a background in machine learning and computational mathematics. A dedicated collaborator with the Casualty Actuarial Society, he co-designed and led the CAS AI Fast Track bootcamp and co-hosts Almost Nowhere, the CAS Institute podcast exploring AI and data science in insurance.
Robert Silva
Rob Silva is Director of Customer Success at ZestyAI. He has eighteen years of experience in the P&C Insurance industry. Most of that time was with MetLife Auto & Home as an Actuary, and later as a State Manager at Farmers Personal Lines. He has experience in Pricing, Reserving, Data Science, and Product Management. This includes implementing Z-FIRETM for rating and underwriting in California for MetLife Auto & Home. Prior to his work as an Actuary, he worked as a Stockbroker and as a Fundraiser for RI Public Radio and Brown University. He is a lifelong New Englander, an amateur actor, a sometimes sailor, an avid but inconsistent tennis player, and an enthusiastic reader and discusser of books. For ten years, he has served on the Board of Directors of Reading Owls International, an organization dedicated to improving literacy in Jamaica. Rob received his BBA in Finance from The George Washington University, and despite failing many actuarial exams, is an Associate of the Casualty Actuarial Society.
