Michele Garibbo

Ciao!

I am a visiting Postdoctoral Research Associate in Neuroscience and Machine Learning in the Neural & Machine Larning Group at the University of Oxford (UK). I did my PhD in Machine Learning and Neuroscience at the University of Bristol under the supervison of Laurence Aitchison (primary), Casimir Ludwig and Nathan Lepora.

Previously, I obtained a master of research in Cognitive Neuroscience at UCL and I undertook contract education in Data Science and Knowledge Engineering at the University of Maastricht.

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Research interests

My research focuses on applying (deep) reinforcement learning (RL) techniques to neuroscience, with two primary areas of emphasis. First, I explore how policy gradient methods can help our understanding of human motor learning. Second, I investigate human cognitive planning by leveraging latent planning models from the RL literature. Additionally, during my PhD, I worked on (purely) deep RL projects focused on improving value estimation in Actor-Critic algorithms.

More broadly, I’m interested in how machine learning and computational models can provide a framework to better understand the vast neural and behavioral data in neuroscience.