Project Highlights and Insights

Explore some  of my key projects and work experiences below. Each tab reveals objectives, methods, and outcomes for a deeper understanding of my work. Let’s delve into the details.

A plot showing the result of a Bayesian Analysis
Bayesian Inference

State-of-the-art statistical analysis of vast datasets for model tuning. This project was one of the core achievements of my dissertation.

A plot showing the learning process of a Normalilzing Flow
ZüNIS

Leveraging normalizing flows for faster integration of particle collision cross sections.

A plot showing the results of causal tracing in LLMs
Causal Tracing
I analyzed how models like GPT process, store and retrieve factual knowledge by studying the effect of noise and reconstruction of weights.
Logo of SPARKX, a data analysis tool for heavy ion collisions
SPARKX

Python package for analysis of heavy-ion collision data, optimized for easy data handling.

Logo of the SMASH hybrid approach
SMASH-hybrid

Suite for integrating software modules for high-performance computation of heavy-ion collisions.

A screenshot of a chatbot talking about climate change
AI climate advisor

Chatbot for science-based climate consulting, based on the most important scientific results.

Heidelberg Engineering

Internship at Heidelberg Engineering, a company developing ophtamological devices. I developed analysis software for retina scanners.

Senacor Technologies

Internship at Senacor Technologies. I developed a B2B communication plattform for a bank, in an highly agile environment.

d-fine

Internship at d-fine. I analysed the database of a major German bank, identifying and fixing inconsistencies.

Get in Touch!

If you’re looking for collaboration or have questions, I’d love to hear from you. Let’s connect and explore what we can achieve together.

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