RAMP: Recognition parametrisation by Amortised Message Passing
ProbML, 2026
I’m a PhD student in computational neuroscience and machine learning at the Gatsby Computational Neuroscience Unit, University College London (UCL), supervised by Maneesh Sahani. I am currently visiting Benjamin Eysenbach’s lab at Princeton University.
I’m generally interested in dynamic neural representations and computations. Currently, I’m working on identifying latent nonlinear dynamical systems from neural population data using approximate inference-based approaches.
Previously, I did the MPhil in Machine Learning and Machine Intelligence at the University of Cambridge, where I was advised by Guillaume Hennequin and worked on uncovering temporally irreversible neural manifolds from population responses.
ProbML, 2026
Geometry-grounded Representation Learning and Generative Modeling (GRaM), ICML 2024 · PMLR 251
PsyArXiv preprint, 2023
Computational and Systems Neuroscience (Cosyne), 2026
Computational and Systems Neuroscience (Cosyne), 2026
International Conference on Auditory Cortex (ICAC), 2025
* denotes equal contribution