I'm a postdoc at Columbia University's Zuckerman Institute, working with Elias Issa. In 2019, I got my PhD at Brain & Cognitive Sciences at MIT, working in Josh McDermott's Computational Audition Lab.
Broadly, I'm interested in the computation, neuroscience, and behavior of everyday perception. I want to make detailed connections between the three.
I'm also pretty excited about marmosets.
The two main lines of my PhD work focused on:
- Building better models of auditory cortical computation, using advances in deep learning.
See: 2018 Neuron paper and 2019 COiNb review.
- Understanding how we robustly encode sound sources of interest in the presence of real-world background noise.
See: 2019 Nature Communications paper.
I'm funded by an F32 now. During my PhD, I was funded by the DOE's Computational Science Graduate Fellowship, and affiliated with the Center for Brains, Minds, and Machines.