About
🚧 Site Under Construction 🚧
Some information on this site may be incomplete, inaccurate, or confidently wrong:
not unlike a draft paper before peer review. Excuse the mess while excavation is in progress.
I am an early-career astrophysics and data-science researcher based in Erlangen, Germany, with an MSc in Physics (Astrophysics & Astroparticle Physics) from Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU).
🛰️ Checkout hello-world — an interactive observatory of live simulations drawn from my research. [GitHub]
My research centres on the high-energy astrophysics of the interstellar medium (ISM) — in particular supernova remnants (SNRs), their X-ray evolution, and their interaction with the surrounding ISM. My MSc thesis combined XMM-Newton X-ray spectral analysis of an individual LMC SNR with population-level statistical methods across the complete observed LMC SNR sample. I worked as a Research Assistant and Lab Tutor at the Dr. Karl Remeis-Sternwarte Bamberg (ECAP, FAU) under Prof. Dr. Manami Sasaki.
Alongside astrophysics, I work on applying machine learning and vision-language models to astronomical survey data — currently developing an automated detection and classification framework for bubble-like ISM structures (SNRs, HII regions, stellar wind bubbles, planetary nebulae) in multiwavelength survey images. I have also collaborated on NLP/AI research, with conference publications on LLM-based misinformation simulation and socioeconomic bias in text-to-image generation.
Research Interests
- High-energy & X-ray astrophysics: supernova remnants, interstellar medium, cosmic rays, multimessenger & astroparticle physics
- Multiwavelength observational astronomy: X-ray spectral and imaging analysis (XMM-Newton/EPIC, XSPEC/PyXspec), survey data
- Astronomical machine learning: vision-language models, automated source detection and classification in multiwavelength survey images
- Statistical methods in astrophysics: probabilistic modelling, maximum-likelihood inference, kernel density estimation