MSc D. Layh

Dennis did both his bachelors and masters degree in physics with a minor in computer science at the Johannes Gutenberg University in Mainz, Germany. During his bachelor’s degree he pursued theoretical physics as his main interest and switched to a focus on experimental particle physics during his master. His master thesis was done as part of the ATLAS experiment located at CERN and included high-speed link tests, PCB design and ultra-low latency machine learning applications on FPGAs. During this time he discovered his true passion, namely machine intelligence with a strong hardware component. He is currently enrolled as a PhD student at TUDelft where he works on combining the latest findings in theoretical and experimental neuroscience with state-of-the-art machine learning techniques to realise hardware-efficient cortical microcircuits. His main research interests include human and machine intelligence with a strong hardware component

Last updated: 14 May 2024