Jason Chow
UX Research Scientist at Meta
Seattle, Washington, United States
Summary
👤
Senior🎓
Top SchoolJason Chow is a UX Research Scientist and computational cognitive scientist with 8 years of experience applying machine learning and AI to probe human perception and decision-making, currently shaping wearable and product research at Meta. He builds psychologically-inspired ML models and scalable analysis pipelines—maintaining the open-source AEPsych package and adding GPU acceleration that yields multi-fold speedups in experiments. Comfortable across Python, R, and JavaScript, he translates high-dimensional human data into actionable product insights and consumer-facing dashboards that have served 25K+ users. His work spans experiment design, multivariate statistical modeling, and production-ready tooling, including ETL, data APIs, and interactive D3 visualizations handling millions of rows. Trained as a PhD psychologist, he bridges rigorous behavioral science with practical engineering to shorten test times and improve measurement reliability in vision, haptics, and audition.
8 years of coding experience
8 years of employment as a software developer
Bachelor of Science - BS, PSYCHOLOGY, Bachelor of Science - BS, PSYCHOLOGY at University of TorontoDoctor of Philosophy - PhD, PSYCHOLOGY, Doctor of Philosophy - PhD, PSYCHOLOGY at Vanderbilt University
Github Skills (32)
gpytorch10
botorch10
convolutional-neural-networks9
object-recognition8
psychology7
sequence6
image-data6
deep-learning5
smartthings5
jspsych5
gaussian-processes5
data-science5
timers5
pytorch4
singularity4
Programming languages (5)
Github contributions (5)
VandyCatLab/singPyTF
Nov 2019 - Feb 2023
Singularity container for Python and Keras
Contributions:3 releases, 5 PRs, 16 pushes in 3 years 3 months
pythondeep-learningsingularitydockermachine-learning
OPLabVanderbilt/Ojs
Apr 2022 - Dec 2022
Object recognition tests implemented in jsPsych
Contributions:12 releases, 32 commits, 1 PR in 7 months
jspsychobject-recognition
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