Pau Vilimelis Aceituno

Bio

I am a theoretician at the interface between Neuroscience, Machine Learning and Neuromorphic Computing. Using Information Theory, Signal Processing, Random Matrices and Graph Theory, I look for theories and principles that explain how neural networks learn and compute in brains and machines. I also have a general interest (and occasional projects) in other fields such as ecology or economics. Previously I have worked on designing satellites, software for error-prone hardware, data mining for airline IT, and time-series processing for microbiomes.