Niklas Götz

From theoretical physics to data science, machine learning, and climate action — I thrive on tackling complex, meaningful challenges.

About Me

Welcome! I’m a physicist specializing in simulations, data science, and AI, with a PhD from Frankfurt on transport phenomena in heavy-ion collisions. My path—from international research to open science and climate advocacy—merges deep analytical thinking with a drive for real-world impact. Here, I share projects, publications, and ideas at the intersection of physics, machine learning, and responsible innovation.

My Projects

Explore my work and insights

Discover a selection of my research and software projects. They cover a wide range of topics, from high performance computing for physics simulations to data analysis and chatbot tuning.

ZüNIS

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

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.

Causal Tracing

I analyzed how models like GPT process, store and retrieve factual knowledge by studying the effect of noise and reconstruction of weights.

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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