Noah Marti

Inspired by nature I co-design neuromorphic algorithms and hardware for brain-machine interfaces.

Using neuromorphic principles I aim to build brain-machine interfaces to act as speech neuroprostheses to restore speech in disabled patients. For this I co-design algorithms and hardware for decoding human brain recordings into language. With automated Neural Architecture Search I want to find optimal neural network architectures for event-driven spiking neural networks under multiple constraints, such as: energy efficiency, latency and accuracy.

I completed both my bachelors and masters degree in mechanical engineering at ETH Zürich. During my bachelors I focused on Micro- and Nanosystems and during my masters I focused on Neuroinformatics and Computational Science for Engineering. I did my masters thesis at the Institute of Neuroinformatics in Zürich on the topic of Parameter Inference for Chaotic Systems. Since October 2025 I'm a PhD candidate at the Neuromorphics Edge Computing Systems Lab at TU Eindhoven, working on hardware-aware neural architecture search for brain-machine interfaces. I have skills and experience in programming, working with hardware, GNU+Linux and teaching.