Summary
Cristiana Principato is a Senior Data Scientist with a PhD in Physics and seven years of experience translating rigorous statistical methods into production ML and LLM-driven systems, currently building large-scale modeling and decision systems at Meta. She has deep expertise in noisy, uncertain, and latent human-state problems from prior roles at COMPASS Pathways—where she developed predictive patient-outcome models and prompt-engineered LLM tools for psychedelic-assisted therapy—to industry work in time-series and sensor-driven applications. Comfortable across research and product settings, Cristiana combines physics-grade data processing at TB scale with pragmatic engineering practices (PyTest, ETL, MongoDB) to deliver models that are both scientifically robust and operationally aligned. A recovering physicist who once pushed NOvA dark-matter analyses to extreme signal-to-noise improvements, she brings a rare mix of domain-driven curiosity and hands-on productionization of ML systems.
7 years of coding experience
11 years of employment as a software developer
Master's degree, Nuclear and Subnuclear Physics, Master's degree, Nuclear and Subnuclear Physics at University of Rome Tor Vergata
Erasmus Student, Elementary Particle Physics, Erasmus Student, Elementary Particle Physics at Eindhoven University of Technology
Doctor of Philosophy (PhD), Physics, Doctor of Philosophy (PhD), Physics at University of Virginia
Italian, English