Astrophysicist with research experience in Numerical Galaxy Formation, High-Performance Computing, and Data Science based in Berlin, Germany🇩🇪. My interests focus on numerical and visualization methods, Machine Learning applications and AI integration for scientific analysis pipelines.
Hi there, I am an astrophysicist and data scientist by training with a passion for coding and everything AI-related. I love to explore new ways to visualize complex data sets and research results, with a focus on design and simplicity. Find out more through my CV above or the projects section below. In my free time you will probably find me outdoors, training handstands or reading a good book. Feel free to reach out, whether it's serious business or just for a friendly hi!
A research project where I deployed neural networks to emulate the most expensive part of hydrodynamical simulations of galaxy formation: baryons! While ember-1 achieves similar accuracy, it is over 30,000 times faster compared to the full simulation. Built with TensorFlow and Keras.
The successor of ember-1, extending the framework to large simulation times and more emulated baryon channels. Bigger, better, faster, and a little bit smarter too! Built with PyTorch.
A python package to visualize simulation data. The package provides particle-to-grid operations using Smoothed Particle Hydrodynamics. Try it out, it's free and blazingly fast! Built with C++, OpenMP and Python.
Python, C, C++, Cython, SQL, Bash, HTML, CSS
Git, Conda, VS-Code, TensorFlow, Keras, PyTorch, LibTorch, Lightning, Plotly
Critical thinking, scientific writing, public speaking, teaching, team/project management
German (native), English (proficient), Italian (fluent), French (basic)
University of Zurich, December 2023 - December 2025
University of Zurich, October 2019 - October 2023
University of Zurich, September 2013 - September 2019
On the beautiful math behind volemtric data rendering
An artwork showing bright and dark sides of the Universe