Gabriel Ruiz
Senior Applied Scientist at Adobe
San Jose, California, United States
Summary
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Senior🎓
Top SchoolGabriel Ruiz is a Senior Applied Scientist based in San Jose with 11 years of experience blending statistical rigor and machine learning to solve product-facing problems, currently contributing to Adobe's applied research efforts. He holds a PhD in Statistics from UCLA and has a strong interest in causal inference, bringing academic depth to production ML and data science workflows. His background includes multiple internships at Adobe and hands-on research roles from government labs to university programs, showing a pattern of translating research into applied systems. Gabriel maintains an active technical presence (webpage: gabriel-ruiz.github.io) and combines ML engineering practice with a researcher's focus on interpretable, causally grounded solutions.
11 years of coding experience
1 year of employment as a software developer
Bachelor of Science (B.S.), Statistics, Bachelor of Science (B.S.), Statistics at University of California, RiversideUniversity of California, Los Angeles
English, Spanish, r
Github Skills (26)
maximization8
java7
controlling7
double7
causal6
causal-inference6
orthogonal5
decision-making5
sdk5
economics5
causality5
machine-learning5
alice5
self-hosting4
open-source4
Programming languages (4)
Github contributions (5)
gabriel-ruiz/gabriel-ruiz.github.io
Jan 2021 - Mar 2024
Contributions:129 pushes in 3 years 2 months
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