Diego Kozlowski is a postdoctoral researcher and data scientist with nine years of experience combining economics, deep learning and computational social science across academia and public institutions. Based in Montreal after PhD work at the University of Luxembourg, he has applied NLP and deep learning to real-world problems from crisis-related Twitter classification to electronic health records and speech recognition. He blends rigorous empirical methods from economics with hands-on engineering in R and Python, and has taught data wrangling and statistical learning at university and national statistics institutes. Diego has a track record of cross-disciplinary collaboration—interning at IRIT with French emergency services and running projects with Buenos Aires health authorities—which reflects a pragmatic focus on socially relevant applications. Active in R user communities, he pairs open, community-oriented practice with formal training (MSc in Data Science, PhD in engineering). Colleagues describe him as a researcher who translates complex social-data problems into reproducible, production-ready analytical pipelines.
9 years of coding experience
3 years of employment as a software developer
Doctor of Philosophy - PhD, engineering, Doctor of Philosophy - PhD, engineering at University of Luxembourg
MSc, Data Science, MSc, Data Science at Universidad de Buenos Aires
Economics, Economics, 9.03, Economics, Economics, 9.03 at University of Buenos Aires
Material para el curso de Enfoque Estadistico del Aprendizaje de la maestría de Explotación de Datos de la UBA
Contributions:63 commits, 5 PRs, 46 pushes in 4 months
pythonubadatosaprendizajedel
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Diego Kozlowski - Postdoctoral Researcher at Université de Montréal