Mara Ellison Voss

I study the geometry of neural population codes: how distributed activity across thousands of neurons represents belief, uncertainty, and time. My work sits between dynamical-systems theory and modern representation learning, and I care about models that are both predictive and interpretable.

Before Zürich I completed my PhD at the Gatsby Computational Neuroscience Unit, where I worked on latent variable models for large-scale electrophysiology. I still write most of my analysis code in the open.