Marten Müller

- Master Thesis Topic: Development of a novel training method for Unsupervised Speech Recognition - Training of Automatic Speech Recognition Systems with PyTorch

- Data Anonymization and Generalization pipeline with Large Language Models - Project lead with supervision of a team of three in developing data analysis tools - Explainable AI for LLMs - Information Retrieval Systems based on fine-tuned Large Language Models

- Population density prediction with the help of Geospatial and mobility data (PySpark) - Federated Machine Learning research project to make privacy-protected statistics available - Big Data Processing and Analysis with the help of Cloud Computing on AWS

- Bachelor Thesis: Analysis of Increased Self-Discharge Based on Field Data From the High Voltage System of Batteries - Time-Series Analysis and Machine Learning with Python (TensorFlow and scikit-learn)

Engineering of Analysis Tools with C# and C++

Master Thesis: Unsupervised Speech Recognition (Developing a novel training method with PyTorch) Lectures: (Advanced) Machine Learning, Computer Vision, Reinforcement Learning, High Performance Computing in Data Science, Bio-Inspired Artificial Intelligence, Data Science in Medicine

Bachelor Thesis: Time Series Analysis on Data from a Battery System Lectures: Social Data Science, Artificial Intelligence