I'm a postdoc at Columbia University's Zuckerman Institute, working with Elias Issa. In 2019, I got my PhD in 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.
In my postdoc, I'm working to develop the marmoset as a model of high-level perception. Work thus far:
- Benchmarking marmoset high-level visual perception contra macaques, rats, and humans.
See: bioRxiv preprint.
In my PhD, the two main lines of work focused on:
- Building better models of auditory cortical computation, using advances in deep learning.
See: 2018 Neuron paper and 2019 COiNb review.
(An overview of this and related work from Wired/Quanta.)
- Understanding how we robustly encode sound sources of interest in the presence of real-world background noise.
I'm funded by an NRSA F32. During my PhD, I was funded by the DOE's Computational Science Graduate Fellowship, and affiliated with the Center for Brains, Minds, and Machines.