As a postdoc in the Andersen lab at Caltech, I work with neural prosthetics, virtual environments, and electrophysiological recordings to better understand how the brain constructs sensory experiences from multiple input sources. By asking how the brain constructs a coherent experience of one’s own body, I believe there is a great deal to learn about basic neural encoding principles but also an opportunity to restore sensory and motor function to patients with spinal cord injuries.
I defended my PhD in Computation and Neural Systems at Caltech in April 2023. I’m on the job market now, interested in opportunities in neurotech and brain-machine interfaces. If you know of an opportunity I’d be a good fit for, please reach out!
Before beginning my PhD program, I worked as a lab manager for Dr. Bevil Conway at the National Institutes of Health, studying the neuroscience of color vision. My research there combined neuroimaging (MEG; MRI) and electrophysiology to examine how color spaces are represented in the brain and their correspondence to real-life image statistics.
I graduated from Wellesley College in 2016 with a B.A. in Neuroscience, focusing on computation and cognitive neuroscience. My undergraduate thesis work, with Dr. Damian Stanley and Dr. Ralph Adolphs, focused on using reinforcement learning to model how people learn about the beliefs and intentions of others, and how this process differs in Autism Spectrum Disorder.
In my spare time, I enjoy hiking, crafting, and trying new foods.