Kai Bellinghausen

Portrait Kai Bellinghausen

Kai Bellinghausen

Klimaextreme und Impacts


Tel: +49 (0)4152 87 1856

E-Mail Kontakt


• Extrem-Ereignisse
• Maschinelles Lernen
• Auswirkungen auf Küsten und Gesellschaft
• Naturgefahren

Analyse der Möglichkeiten des maschinellen Lernens im Bereich der Extremereignisse und ihrer gesellschaftlichen Auswirkungen

Work Experience

December 2023 – currentPhD at Helmholtz-Zentrum Hereon

Analyzing the possibilities of machine learning within the realm of extreme-events and its societal impacts.
January 2022 – December 2022Freelance Researcher at Helmholtz-Zentrum HereonEstimation and Prediction of Extreme Storm Surge Events in the Baltic Sea via Machine Learning. The project was based on Python, mainly sci-kit learn and can be found on my GitHub.
September 2020 – June 2022Working-Student at AWI for Polar and Marine ResearchTRR181-Project regarding energy transfer in atmosphere & ocean. Mainly involved in research-project M3: Toward consistent subgrid momentum closures, developing diagnostics for a backscatter-scheme concerning energy budget. A paper was published with our work.

May 2021 – December 2021Research assistant at University of Hamburg, Faculty of Economics and Social Sciences
Data research and processing for projects in the field of sustainable finance. Involved oTree and Python for questionnaire design and data processing.
January 2017 – April 2017Intern at Deutsche Bank AG
Corporate Investment Banking, Osnabrück & Hanover
Analyzing markets, client acquisition, FX-risk-management, balance sheet and (credit-) risk analysis
September 2015 – September 2017Tutor at University of OsnabrückDepartment of microeconomics and department of business leadership


October 2020 – January 2023Master of Science in Ocean & Climate Physics at University of HamburgGPA: 1.09 (passed with distinction), Master Thesis: Estimating Extreme Storm Surge Height in the Baltic Sea by Using Various Machine Learning Methods Based on Atmospheric Data
April 2017 – January 2019Master of Science in Mathematics at University of OsnabrückGPA: 1.8, Master Thesis: Modelling consequences of cancerogenes on cancer – theoretical analysis via queueing theory
October 2014 – September 2017Bachelor of Science in Management & Economics at University of OsnabrückGPA: 1.5 (Top 5% of cohort), Bachelors Thesis: Is income inequality a driver of financial crisis?
October 2012 – April 2016Bachelor of Education in Sportsmanagement and Mathematics at University of OsnabrückGPA: 1.6, Bachelors Thesis: Pricing American Options


June 2016 – December 2016Scholar of Deutscher Akademischer Auslandsdienst (DAAD)Financial support for my study abroad experience
October 2015 – September 2017Scholar of DeutschlandstipendiumGermanys scholarship foundation backed by the German ministry of education and research