When: Friday, October 16, 1:00 PM
Where: Tyler 106

Abstract
In this seminar, we will share what data science looks like in practice at Munich Re and HSB and how the skills students develop in statistics and computer science translate into industry applications. We will introduce Munich Re and HSB, discuss the role of data scientists within the organization, and walk through two example projects: a risk modeling application using conditional density modeling and a GenAI use case in the insurance domain. We will also share information about our 2027 Data Science Internship Program.

Bios
Yue Du, Senior Data Scientist, HSB
Her current work focuses on developing and implementing statistical and ML models, and AI applications in cyber insurance and market research.

Nathan Lally, Head of Data Science – Underwriting and Risk, HSB
Lead a team of data scientists supporting underwriting, pricing and risk teams with ML and AI solutions across HSB’s various insurance products.

HSB, part of Munich Re, is a specialty insurer and technology-driven risk solutions provider. Our data science teams work across a variety of insurance and engineering problems, applying statistical modeling, machine learning, and AI to real-world business challenges.