PEOPLE

I am a PhD student at the TECO research group at the Karlsruhe Institute of Technology (KIT), focusing on machine learning for printed neuromorphic circuits. My research explores how learning algorithms can be adapted to the physical constraints of printed electronics, bridging the gap between artificial intelligence and emerging hardware technologies. Since starting my PhD, I have contributed to several interdisciplinary projects, including ML4Print, MangoTune, and KI-Wasserzeichensuche, among others. Beyond my core research, I am fascinated by mathematical questions in machine learning and enjoy exploring how ML concepts can be applied to strategic reasoning in card games.

• Since 2022 Research associate / Ph.D. candidate in Computer Science at TECO
• 2022 Master’s Degree in Artificial Intelligence and Deep Learning from the University of Alcalá
• 2020 Master’s Degree in Theoretical and Mathematical Physics from LMU/TUM
• 2016 Bachelor’s Degree in Physics from the University of Bremen

• ML4Print
• ARCTUS (EUHUBS4DATA)
• MangoTune
• Fresh Satellites
• KI-Wasserzeichensuche

• Printed Neuromorphic Circuits
• Optimization Techniques

• FFPlus
• HammerHAI