Summary
Daniel Ruiz-perez is a Machine Learning Engineer and Research Scientist at Meta in Menlo Park with eight years of experience bridging rigorous academic research and production ML systems. He holds a Ph.D. in Computer and Information Sciences from Florida International University and a strong record in multi-omic modeling, causal Dynamic Bayesian Networks, and time-series bioinformatics from his dissertation and graduate research. At Meta and formerly on Facebook’s App Monetization ranking team, he has applied research-grade methods to large-scale recommendation and ranking problems. His background includes designing cloud migrations and building domain-specific expert systems, reflecting comfort across research, engineering, and operational delivery. Known for top-tier academic performance (multiple programs with 4.0 GPAs) and a practical bent, he brings both theoretical depth and hands-on production experience to complex ML challenges.
8 years of coding experience
2 years of employment as a software developer
Doctor of Philosophy - PhD, Computer and Information Sciences, GPA: 4.0/4.0 (Top 1%), Doctor of Philosophy - PhD, Computer and Information Sciences, GPA: 4.0/4.0 (Top 1%) at Florida International University - College of Engineering & Computing
Bachelor of Science - BS, Computer Science, Bachelor of Science - BS, Computer Science at University of A Coruna
High School, Health Sciences, High School, Health Sciences at IES David Buján
Spanish, English, Galician