Maximilian Burzer

I am a PhD student at the TECO research group at the Karlsruhe Institute of Technology (KIT), focusing on deep learning from wearable sensor data. My research explores personalized Human Activity Recognition (HAR) through domain adaptation, representation learning, and probabilistic generative models. I love to delve into machine learning theory and apply it to real-world applications in human-centered sensing, bridging the gap between fundamental research and practical impact.

• since 2025 PhD Student at TECO
• 2022 – 2025 M.Sc. Computer Science at KIT
• 2023 – 2024 Machine Learning Engineering Intern at prenode
• 2022 – 2023 Software Engineering Working Student in Process Mining at MEHRWERK
• 2018 – 2022 B.Sc. Computer Science at KIT

• Human Activity Recognition
• Meta-, Contrastive and Representation Learning
• Bayesian Learning and Probabilistic Generative Models

• WHAR Datasets
• HammerHAI