Daniël van Dam
MSC
Lead Data Scientist
1101 BE, NL
Daniel van Dam works as lead data scientist in the Amsterdam office of Milliman. He is responsible for data science-related work for the Benelux. He joined Milliman in 2020.
Experience
Daniel previously worked as freelance senior data scientist. He was the lead data scientist with Ortec Finance, working for multiple clients with a team of several data scientists. Before that he worked as data scientist and technical consultant also with Ortec Finance.
Education
- Master of Science, Business Analytics, VU University Amsterdam, Netherlands
- Bachelor of Science, Business Analytics, VU University Amsterdam, Netherlands
Publications
Read their latest work
Article
Flood risk modelling in Europe
02 May 2024 - by Jan Thiemen Postema, Daniël van Dam, Menno van Wijk, Niels Van der Laan, Antoine Rainaud, Eve Titon
We present a framework and tools for projecting insured flood losses in the Netherlands and France, which can be used for insurance portfolios across Europe.
Article
欧州における洪水リスクのモデリング
02 May 2024 - by Jan Thiemen Postema, Daniël van Dam, Menno van Wijk, Niels Van der Laan, Antoine Rainaud, Eve Titon
オランダおよびフランスにおける洪水保険の損害を予測するためのフレームワークとツールについて紹介します。
Article
The potential of large language models in the insurance sector
07 February 2024 - by Daniël van Dam, Raymond van Es
We discuss the market landscape and future considerations for institutional special needs plans, a specialized type of Medicare Advantage market offering.
Article
保険セクターにおける大規模言語モデルの可能性
07 February 2024 - by Daniël van Dam, Raymond van Es
Medicare Advantage市場で提供されている特別種類の一つである特別ニーズに対する制度プランの市場の展望と将来の検討事項について論じます。
Article
Developing fair models in an imperfect world: How to deal with bias in AI
23 December 2021 - by Daniël van Dam, Raymond van Es, Jan Thiemen Postema
We need to start training models that reflect the world we want to live in.
Article
不完全な世界における公正なモデルの構築:AIにおけるバイアスへの対処
23 December 2021 - by Daniël van Dam, Raymond van Es, Jan Thiemen Postema
私たちが住みたいと思う世界を反映するモデルを学習させ始める必要があります。