Pehuén Moure

I am a PhD candidate at ETH Zurich’s Institute of Neuroinformatics, working at the intersection of machine learning and neuroscience. My research focuses on developing robust AI systems that can generalize across domains, from neuroprosthetic control to multi-agent robotic systems.

Currently, I’m developing deep learning approaches for controlling neural activity in visual prostheses and building methods for improving generalization in reinforcement learning via Bayesian neural networks. I’m also leading development on an automated speech recognition tool for children with speech impairments. If you’re interested in a masters or bachelors project or thesis, you can browse through the open student projects or just contact me directly!

My research aims to bridge the gap between theoretical advances in machine learning and practical applications, particularly in healthcare and robotics. I’m passionate about developing AI systems that can adapt to diverse needs and serve specific individuals rather than just average use cases.

A list of my publications can be found on my publications page. For more details about my research interests, please visit my research page.