2025
DHI Research Mobility Fellowship
Six-month research stay in Copenhagen.
Curriculum Vitae
My academic background is in fluid mechanics, which sparked a lasting interest in modelling complex systems. A research scholarship in coastal engineering in Chile deepened this interest into a fascination with the environment and its behaviour under extreme conditions. This led me to research and development at the Danish Hydraulic Institute, where I combined established numerical models with scientific machine learning. My doctoral research applies this combination to tropical cyclones, among the costliest drivers of natural catastrophes worldwide.
Professional experience
Dec 2026 –
Independent Consulting
Scientific Machine Learning Consultant Zurich, Switzerland
Consulting for public authorities, industry and decision-makers on machine-learning surrogates and operational forecasting, alongside my PhD.
Mar 2024 – Nov 2026
2 yrs 8 mos
Danish Hydraulic Institute (DHI)
Data & Modelling Engineer Munich, Germany
Working at the interface of R&D and applied projects, focusing on data–model integration.
- Project lead for data-driven time-series forecasting of water levels in operational hydrodynamic models
- Responsible for the hydrodynamic model architecture and meteorological integration of a storm-surge forecasting system for the Hamburg Port Authority
- Principal developer of a Python library for the automatic calibration of hydrodynamic models using measurement and satellite data and AI-based optimization
- Organizer of the internal Marine Innovation Forum, bridging research and advisory teams
Apr 2016 – Apr 2020
4 yrs
Müller-BBM
Working Student, Building Physics Planegg, Germany
Optimized programmatic workflows for thermal simulations and automated report generation.
Research & academic experience
Dec 2026 –
ETH Zurich — Institute for Atmospheric and Climate Science (IAC)
PhD, Atmospheric & Climate Science Zurich, Switzerland
Supervised by Ulrike Lohmann (IAC) and Joel Oskarsson (ETH AI Center). Focus: ocean hazards of tropical cyclones and machine-learning surrogate models.
Nov 2025 – May 2026
6 mos
Danish Hydraulic Institute (DHI)
Data & Modelling Scientist, Research Fellow Copenhagen, Denmark
Six-month research stay at DHI's headquarters.
- Exploring AI-based surrogate modelling techniques that enhance the predictive capabilities of storm-surge models and decision support systems (DSS)
- Adapting and contributing to the mllam framework (DMI, ETH) for surrogate modelling of hydrodynamic systems
Apr 2022 – Oct 2022
6 mos
Technical University of Munich
Tutor, Numerical Methods in Hydromechanics Munich, Germany
Supervised tutorials and guided students in computational hydrodynamics.
Apr 2021 – Apr 2022
1 yr
Universidad Técnica Federico Santa María
DAAD Research Scholar, Coastal Engineering Valparaíso, Chile
- Academic stay with courses and seminars on ocean and wave dynamics and tsunamis
- Research project at the Universidad Austral de Chile (Valdivia) on a numerical tool to assess the impact of extreme waves on wave energy converters
Apr 2020 – Apr 2021
1 yr
Technical University of Munich
Student Research Assistant, BMBF project RUSEKU Munich, Germany
- Direct numerical simulations on the LRZ high-performance cluster to investigate microplastic transport in fully turbulent flow fields
- Data analysis of accumulation mechanisms and particle distribution patterns
Education
Oct 2019 – Mar 2023
3 yrs 5 mos
Technical University of Munich
M.Sc. Civil Engineering Munich, Germany
Specialization: Hydromechanics, Water Resources, Geotechnics, Geothermal Energy.
Thesis: Assessment of a Non-linear Gravity Wave with a Weakly Compressible SPH Code.
Oct 2014 – Mar 2019
4 yrs 5 mos
Technical University of Munich
B.Sc. Environmental Engineering Munich, Germany
Specialization: Hydromechanics, Water Resources Engineering, Building Physics, Transportation.
Thesis: A Random Walk Model for the Sediment–Water Interface.
Sep 2013
Franz-Marc-Gymnasium
Abitur, General University Entrance Qualification Markt Schwaben, Germany
Awards & scholarships
2023
Academic Excellence
Top 4% of the M.Sc. programme cohort.
2022
SPH Workshop Scholarship
University of Florence.
2021
DAAD Research Scholarship
One-year funded research scholarship in Chile.
Technical skills
- Agentic engineering
- Spec-driven development, Claude Code, verification and evaluation
- Computer science
- Python, Git, CI/CD, Linux, high-performance computing
- Data science
- Time-series forecasting, graph neural networks, optimization, geoinformation
- Modelling
- Extreme-event modelling, fluid modelling, autocalibration
Languages
- GermanNative
- EnglishBusiness fluent
- SpanishFluent