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Hi there, I'm Gavin!

I am a PhD candidate in Electrical Engineering at Columbia University, under the supervision of Dr. Nima Mesgarani. I work at the intersection of neuroscience and machine learning, and I am interested in computational modeling and methods for decoding the brain's neural signals.

In my undergrad, I helped develop mvlearn as an open-source tool to aid in the study of neural data. You can find my software projects here on Github, and more of my research on my personal site.

Gavin Mischler's Projects

bigbrain icon bigbrain

A toolbox for learning anything and everything from data.

dstrf icon dstrf

Dynamic Spectrotemporal Receptive Field (dSTRF) Analysis Toolbox

mvlearn icon mvlearn

Python package for multi-view machine learning

naplib-python icon naplib-python

Tools and functions for neural data processing and analysis in python

prednet icon prednet

Code and models accompanying "Deep Predictive Coding Networks for Video Prediction and Unsupervised Learning"

schizophrenia-eeg icon schizophrenia-eeg

Exploratory project analyzing EEG data from Schizophrenia patients using Multiview ICA

spikefrinder icon spikefrinder

Spike inference algorithm using frequency-domain FRI framework

staged-recipes icon staged-recipes

A place to submit conda recipes before they become fully fledged conda-forge feedstocks

voice_recognition icon voice_recognition

Voice recognition system based on matching features of a recording to a database

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