Clémentine Dominé

I am a CBS Postdoctoral Fellow in the Physics of Intelligence at Harvard University.

Research

My research lies at the intersection of theoretical neuroscience and theoretical machine learning. Broadly, I aim to understand how the brain learns and builds representations to carry out complex behaviors—such as continual, curriculum, and reversal learning, as well as the acquisition of structured knowledge. I develop mathematical frameworks rooted in deep learning theory to describe adaptive and complex learning mechanisms, addressing questions that bridge machine learning and cognitive neuroscience.

Trainning

I was a Postdoctoral Researcher at ISTA, supported by a Cluster of Excellence (CoE) Fellowship, where I worked with Professors Marco Mondelli and Francesco Locatello. Previously, I completed my PhD at the Gatsby Computational Neuroscience Unit under the supervision of Andrew Saxe and Caswell Barry. I hold a degree in Theoretical Physics from the University of Manchester, which included an exchange at the University of California, Los Angeles (UCLA).

Community

Beyond my research, I am deeply involved in the academic community. I co-organize the UniReps : Unifying Representations in Neural Models workshop at NeurIPS , an event dedicated to fostering collaboration and dialogue between researchers working to unify our understanding of representations in biological and artificial neural networks. 🔵🔴

Mentoring and collaboration

Interested in working together on questions at the intersection of biological and artificial intelligence? I especially welcome students from underrepresented groups in cognitive science, neuroscience, and AI. Mentorship and collaboration are central to my work—feel free to reach out!