About
I am a sixth-year Ph.D. candidate in Electrical Engineering at Columbia University and a member of the Neural Acoustic Processing Lab which is a part of the Zuckerman Mind Brain Behavior Institute. I am interested in the processing of speech and language in the human brain. Specifically, I use machine learning methods to study how the human auditory cortex analyzes the acoustic and linguistic content of speech as it is processed through the auditory pathway. Click here to see my full CV.
Below is a list of my projects and publications.
Research Projects
Side Projects
Publications
naplib-python: Neural Acoustic Data Processing and Analysis Tools in Python. Software Impacts (2023)
Joint, distributed and hierarchically organized encoding of linguistic features in the human auditory cortex. Nature Human Behaviour (2023)
Deep neural networks effectively model neural adaptation to changing background noise and suggest nonlinear noise filtering methods in auditory cortex. NeuroImage (2023)
Understanding Adaptive, Multiscale Temporal Integration In Deep Speech Recognition Systems. Advances in Neural Information Processing Systems (2021)
Estimating and interpreting nonlinear receptive field of sensory neural responses with deep neural network models. eLife (2020)