Mónica Ribero
Research Scientist at Google
United States
Summary
👤
Senior🎓
Top SchoolMónica Ribero is a Research Scientist at Google specializing in differential privacy with eight years of experience bridging theory and applied systems. She holds a PhD in Electrical and Computer Engineering from UT Austin, where she developed federated and private learning algorithms under Dr. Haris Vikalo, and began her academic journey with a BS in Mathematics from Universidad de Los Andes. Her trajectory includes multiple Google research internships and applied research stints at CognitiveScale and Nokia Bell Labs, often focusing on privacy-preserving recommender systems. Comfortable moving between rigorous theory and production-minded research, she brings deep mathematical grounding to practical privacy solutions. Colleagues describe her as someone who pursues elegant algorithmic ideas while keeping an eye on real-world deployment constraints.
8 years of coding experience
1 year of employment as a software developer
Doctor of Philosophy - PhD, Electrical and Computer Engineering, Doctor of Philosophy - PhD, Electrical and Computer Engineering at The University of Texas at AustinUniversidad de los Andes
Spanish, English, French
Github Skills (9)
deep-learning8
machine-learning8
python8
tensorflow7
neural-network6
ml5
deep-neural-networks5
pytorch1
computer-vision1
Programming languages (2)
Github contributions (5)
mriberodiaz/mriberodiaz.github.io
May 2018 - May 2026
Contributions:33 pushes, 1 branch in 8 years 1 month
mriberodiaz/selection_ou_weights
Nov 2020 - Feb 2021
Contributions:169 pushes in 2 months
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