Ian Griffith
Graduate Research Fellow
Cambridge, Massachusetts, United States
Summary
👤
Senior🎓
Top SchoolIan Griffith is a PhD candidate and graduate research fellow at MIT specializing in computational audition and NeuroAI, with nine years of experience bridging neuroscience and machine learning to model human perception and attentional selection. His work develops artificial attention mechanisms and learning algorithms aimed at capturing — and potentially exceeding — human-level perceptual performance, informed by experimental neural data from intracranial and cortical-depth studies. He has contributed to academic and DARPA projects, taught advanced courses on audition and perception, and completed research stints across UT Austin, UC Berkeley, and the McGovern Institute. Based in Cambridge, MA, Ian combines deep theoretical training with hands-on experiment design and statistical modeling, making him fluent in both lab neuroscience and cutting-edge audio ML research.
8 years of coding experience
4 years of employment as a software developer
Cognitive Science, Cognitive Science at University of California, BerkeleyDoctor of Philosophy - PhD, Computational Neuroscience | SHBT, Doctor of Philosophy - PhD, Computational Neuroscience | SHBT at Harvard University
Github Skills (39)
sequence8
ctc8
facebook8
artificial-intelligence7
robust7
imaging7
openfst7
neuroscience7
wrapper7
python7
microscopy7
sequence-to-sequence7
nlp6
transformer-architecture6
natural-language-processing6
Programming languages (4)
Github contributions (5)
HamiltonLabUT/NeuralNetTutorial
May 2019 - Mar 2020
Introduction to Keras and Tensorflow for lab projects.
Contributions:25 commits, 12 pushes in 9 months
deep-learningtensorflowtensorflow2keraslab
IanMGriff/IanMGriff.github.io
Dec 2021 - Dec 2023
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
Contributions:29 pushes in 1 year 11 months
templategithub-pages-templatemmistakesmistakesjekyll
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