Szymon Talaga is a research scientist at the University of Warsaw with 11 years of experience applying computational methods to social science problems, from network science and sociology to economics and communication studies. He designs and implements NLP systems—fine-tuning transformer models, building prompting pipelines for LLMs, and combining linguistically grounded statistical methods—with a strong track record of publishing and open-source tooling. Szymon pairs this methodological depth with practical engineering: scalable data collection and web scraping, memory- and compute-constrained processing, and software in Python, Julia and R. He has led funded projects (including an NCN grant and ERC NEWSUSE work) and built open-source packages for automated narrative analysis within EU research consortia. Colleagues describe him as equally comfortable in rigorous theoretical work on network structure and in shipping production-ready data science tools that deliver research-grade visualizations and reproducible analyses.
11 years of coding experience
9 years of employment as a software developer
Master’s Degree, Psychologia, B+ (MA Thesis: A), Master’s Degree, Psychologia, B+ (MA Thesis: A) at Uniwersytet Warszawski
Master of Science (MSc), Urban Studies, Master of Science (MSc), Urban Studies at University of Amsterdam
Contributions:17 commits, 5 pushes, 2 branches in 5 months
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Szymon Talaga - Research Scientist at University of Warsaw