John Thickstun
Assistant Professor at SoundPatrol
City of Ithaca, New York, United States
Summary
👤
Senior🎓
Top SchoolJohn Thickstun is an Assistant Professor and machine learning researcher specializing in generative models and time series, with 19 years of experience spanning systems software, quantitative finance, project management, and academic research. He brings a strong publication record at top venues (ICML, NeurIPS, ICLR, EMNLP, ICASSP, ISMIR) and recent appointments at Stanford and Cornell that bridge cutting-edge ML theory with applied systems. His background includes production-facing roles in finance and software engineering as well as industry fellowships and advisory positions, giving him a rare combination of research rigor and real-world deployment experience. Based in Ithaca, he also advises startups in the DeepTech and AI space, translating generative-model advances into practical products.
19 years of coding experience
12 years of employment as a software developer
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at University of WashingtonBachelor of Science (BSc), Applied Mathematics, Bachelor of Science (BSc), Applied Mathematics at Brown UniversityHigh School Bridge Program, High School Bridge Program at Hamilton College
Github Skills (39)
game-engine10
datasets9
huggingface9
speech9
autoregressive-models9
foundation-models9
nlp8
computer-vision8
data-augmentation8
music8
pandas8
natural-language-processing8
ai8
machine-learning8
artificial-intelligence8
Programming languages (5)
Github contributions (5)
jthickstun/ismir2019coupled
May 2020 - May 2020
Contributions:9 commits, 6 pushes, 1 branch in 1 day
jthickstun/thickstun2018invariances
Nov 2017 - Feb 2020
Experiments for Invariances and Data Augmentation for Supervised Music Transcription
Contributions:5 commits, 4 pushes, 1 branch in 2 years 3 months
data-augmentation
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