Ryan Stolier
Senior User Experience Researcher at Google
New York, New York, United States
Summary
👤
Senior🎓
Top SchoolRyan Stolier is a Senior User Experience Researcher with 12 years of experience blending quantitative research, data science, and social-cognitive neuroscience to inform product strategy at scale. He has led trust & safety research at Meta and now drives quantitative UX for Google Search Verticals, translating complex behavioral and neural insights into measurable product impact. His background includes postdoctoral neuroimaging work and grant-funded psychological research, and he frequently bridges disciplines by building machine learning tools and custom analytics in Python. Known for turning nuanced social cognition findings into pragmatic measurement and execution plans, he pairs rigorous academic training (PhD, NYU/Dartmouth) with hands-on product delivery in high-impact consumer platforms. An often-overlooked strength is his ability to operate interchangeably as researcher, data scientist, and technical PM to push initiatives from insight to implementation.
12 years of coding experience
10 years of employment as a software developer
Bachelor of Arts - BA, PSYCHOLOGY, Bachelor of Arts - BA, PSYCHOLOGY at Arizona State UniversityComputational Summer School in Methods in Neuroscience at Dartmouth (MIND), Computational Summer School in Methods in Neuroscience at Dartmouth (MIND) at Dartmouth CollegeDoctor of Philosophy - PhD, PSYCHOLOGY, GPA 4.0, Doctor of Philosophy - PhD, PSYCHOLOGY, GPA 4.0 at New York UniversityMaster of Arts - MA, PSYCHOLOGY, Master of Arts - MA, PSYCHOLOGY at San Diego State UniversitySummer School in Social Neuroscience & Neuroeconomics, Summer School in Social Neuroscience & Neuroeconomics at Duke University
English, Spanish
Github Skills (9)
sarif10
espn9
python8
neuroimaging7
distance-matrix6
emulation6
macos5
objective-c5
network-graph1
Programming languages (3)
Github contributions (5)
rystoli/rystoli.github.io
Mar 2017 - Jul 2025
Contributions:250 pushes, 1 branch in 8 years 5 months
rystoli/afniGLMprep
Nov 2017 - Mar 2020
afniGLMprep is python code which prepares and runs GLMs on neuroimaging data stored in the BIDS format (http://bids.neuroimaging.io/). This is done via AFNI's 3dDeconvolve function.
Contributions:65 commits, 1 PR, 64 pushes in 2 years 4 months
neuroimagingpython
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