Julian Streyczek

Hello there! I’m an applied data scientist with a PhD in Economics from Bocconi University (Milan). My work has been supported by the German Academic Scholarship Foundation (Studienstiftung), and a five-month research visit at Harvard University.

I use data and advanced statistical methods to help understand how digital technologies, platforms, and institutions shape user behavior. Most of my work starts from messy real-world data: web traffic, social media, public records, text, APIs, and scraped websites. I turn these into clear evidence using modern methods in causal inference and machine learning, combined with careful measurement and a bit of creativity.

On this website, you’ll find a selected overview of both my academic work and some side projects, including a case study on data-driven incentive design, an in-depth blog article on causal forests, and presentation slides from a mini-course that explain machine learning in social science research to first-year undergraduates.

If you’d like to get in contact, feel free to reach out via Email or LinkedIn!