About me
Hi 👋 I'm Hendrik Fischer — a mathematician and actuary with a strong academic background in numerical mathematics and scientific computing. I earned my Ph.D. from Leibniz University Hannover, where my research focused on reduced-order modeling for physical systems such as fluid dynamics and porous media. I developed data-driven numerical models designed to minimize computational effort by dynamically adapting to new parametric conditions.
In 2024, I transitioned into the insurance industry as a reserving actuary, and I’m currently pursuing qualification as a DAV actuary.
Outside of work, I'm a passionate about Austrian economics, investing, personal development, and itcoin. Further, I enjoy leveraging Python and AI to solve complex problems and build automations making my life easier.
By uniting theoretical knowledge with practical skills, I’m driven to turn ideas into impactful solutions—always learning, always pushing boundaries.
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My self-image as an Actuary
As an actuary, I leverage my expertise in mathematical modeling and scientific computing, along with my passion for economics, finance and programming, to analyze risk and navigate uncertainty.
My resume
Work Experience
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Reserving Actuary @ HDI Global Specialty SE
2024 - PresentWorking as a reserving actuary in the speciality lines of HDI Global Specialty SE.
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Research Visitor @ ENS Paris-Saclay
2022 - 20236 month research stay at the laboratoire de Mécanique Paris-Saclay in association with the IRTG 2657.
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Doctoral Candidate @ Leibniz Universität Hannover
2021 - 2024Doctoral candidate at the Institute of Applied Mathematics at Leibniz Universität Hannover.
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Student Assistant @ Technische Universität Hamburg
2017- 2021Student assistant for several courses as well as in multiple research projects.
Education
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Actuary DAV @ Deutsche Aktuarsvereinigung
2025 - PresentParticipation in the DAV Education and Training Programme.
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Ph.D. (Dr. rer. nat.), Mathematics @ Leibniz Universität Hannover
2021 - 2024PhD thesis: "Goal-oriented error control for space-time reduced-order modeling using incremental proper orthogonal decomposition"
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M.Sc. Industrial Mathematics @ University of Hamburg
2019 - 2021Master thesis: "Model Reduction using Incremental Decomposition Techniques to support Unsteady Adjoint-Based Fluid Dynamic Shape Optimization."
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B.Sc. Technomathematics @ Technische Universität Hamburg
2016 - 2019Bachelor thesis: "Analysis of the Interaction of Weakly Nonlinear Water Waves"
My Skills
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Python
90% -
SQL
70% -
ResQ
80% -
Excel
65% -
Scientific Computing
85% -
MatLab, C, C++
60% -
Obsidian
95%
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And many more...
