RESEARCH

I’m a neuroscientist interested in how living systems process information and act on the world: what computation looks like in living matter, and what biological intelligence can teach us about artificial kinds.

I earned my PhD in biophysics at UC Berkeley and did postdoctoral work in computational neuroscience at University College London and the University of Basel, followed by research at Google DeepMind. I’ve developed novel brain-computer interfaces to study the biological basis of agency.

My work has been supported by fellowships from the Human Frontier Science Program, EMBO, the Branco Weiss Fellowship, and the NSF, and was awarded the Regeneron Prize for creative innovation in biomedicine.

Selected papers

FULL LIST ON GOOGLE SCHOLAR →

The sensory representation of causally controlled objects Neuron · 2021 How the brain distinguishes what it can control from what it merely observes—a sensory signature of agency. Locomotion-dependent remapping of distributed cortical networks Nature Neuroscience · 2019 The simple act of moving reorganizes activity across widespread networks of the cortex. Volitional modulation of optically recorded calcium signals for neuroprosthetic control Nature Neuroscience · 2014 Training a brain-machine interface directly from the optical signals of individual neurons. Structure of the sparse spike code in layer 2 of rodent somatosensory cortex Journal of Neuroscience · 2015 How a small, sparse population of neurons in the touch cortex carries sensation.