Summary
Maria Dimakopoulou is a seasoned engineering leader with 12+ years of experience building ML-driven personalization, pricing and experimentation systems at scale across Uber, Spotify and Netflix. She currently directs a 50-person Mobility Marketplace Pricing & Incentive Planning org at Uber, blending machine learning, economics and backend systems to drive short- and long-term marketplace planning. Previously she led homepage personalization for 640M+ Spotify users and ran a cross-functional company bet on content discovery, merging research and product strategy with production ML. Her research background (PhD from Stanford in reinforcement learning and causal inference) underpins a track record of shipping causal ML, adaptive experimentation and revenue-driving optimization algorithms in production. Notably, she has translated deep academic work into real-world impact—from dynamic pricing at Google Ad Exchange to automated adaptive tests at Netflix—earning industry honors like Forbes 30 Under 30 Greece. Based in Los Gatos, she combines rigorous research, cross-disciplinary leadership and a pragmatism for delivering measurable business outcomes.
12 years of coding experience
7 years of employment as a software developer
Bachelor's and Master's degree Electrical Engineering & Computer Science, Bachelor's and Master's degree Electrical Engineering & Computer Science at National Technical University of Athens
Doctor of Philosophy (Ph.D.) Reinforcement Learning & Causal Inference, Doctor of Philosophy (Ph.D.) Reinforcement Learning & Causal Inference at Stanford University
English, French, Greek