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Hi, I'm Paul 👋

I'm a research engineer at the Dynamical Inference Lab building robust and interpretable machine learning tools for decompiling biological computations. Currently, I'm setting up transformer experiments on brain data at scale to study how multi-modal neural datasets can be compressed into foundation models.

I'm also a software engineer at KI macht Schule, a non-profit science communication organization teaching ML basics to high school students. We provide teachers with modern teaching software and are the first company to offer fully German-hosted LLMs for education purposes.

Paul Pommer's Projects

angular-spring-app icon angular-spring-app

Example web app featuring an Angular frontend, a Spring backend, an authentication framework, and access to different APIs.

compiler icon compiler

Simulation of a compiler for Java with a simplified grammar

dotfiles icon dotfiles

Modified config files for Regolith Linux

go-democracy icon go-democracy

Hackathon concept for scanning election posters and receiving information about political parties, candidates and topics.

master-thesis icon master-thesis

Code and evaluation data for my Master's thesis on flavor detection and bias mitigation.

maze-walker icon maze-walker

Algorithm that attempts to find hungry penguins trapped in a maze and save them from starving by recursively walking through that maze

metadata icon metadata

Incorporating metadata (such as website descriptions and HTML tags) into language model pretraining to enhance zero-shot capabilities and controllability.

sqlmodel icon sqlmodel

SQL databases in Python, designed for simplicity, compatibility, and robustness.

traceroute icon traceroute

Determination of paths to a target computer and identification of associated nodes (routers) that forward packets.

xor-cbc icon xor-cbc

Encryption of strings according to the Cipher Block Chaining mode with XOR encryption

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