Summary
Jiří Novák is a data scientist with eight years of experience bridging applied research and production analytics, currently working in Adastra’s Big Data department in Prague. He holds advanced training in statistics (PhD-level studies) and a strong track record in statistical disclosure control, synthetic microdata generation and privacy-preserving methods developed for national statistical offices and academic projects. Proficient in R (tidyverse, data.table, shiny) and Python (pandas, scikit-learn), he builds reproducible tools and interactive apps—examples include a public Shiny demo and an AI chatbot prototype—while contributing to open-source anonymization tooling like sdcMicro. His background spans census data engineering, actuarial modelling and university teaching, giving him a rare combination of operational data pipeline experience and rigorous methodological research. Colleagues value him for turning complex privacy requirements into practical, auditable solutions that scale across research and government settings.
8 years of coding experience
7 years of employment as a software developer
Doctor of Philosophy - PhD, Doctor of Philosophy - PhD at University of Zurich
Matura, Prospěl s vyznamenáním, Matura, Prospěl s vyznamenáním at Gymnázium, Praha 8, U Libeňského zámku 1
Doctor of Philosophy - PhD, Statistics, Doctor of Philosophy - PhD, Statistics at University of Economics, Prague
English, Czech, German