I am the Director of the Center for Collective Learning at the Corvinus Institute of Advanced Study and an Associate Professor at Corvinus University Budapest. I am also affiliated with CERS and CSH. In the summer and fall of 2026, I am a Senior Fellow at Microsoft's AI Economy Institute. From December 2026, I will lead an MTA Lendület/Momentum research group on the geography of software.
I study the digital economy and its economic geography. I am interested in how people build software together, how AI is transforming knowledge work, and what role geography plays in these processes. I develop data and network science methods to address these questions. For an idea of the kind of data I work with, have a look at this interactive map of the use of Claude Code.
News
For a full listing, visit Google Scholar.
Recent Highlights & Working Papers
- Who is using AI to code? Global diffusion and impact of generative AI Science (2026) Links: paper, preprint Media/Press: World Bank talk
- The software complexity of nations Research Policy (2026) Links: paper, preprint
- The building blocks of software work explain coding careers and language popularity Working paper Link: preprint
- Anchor Sponsor Firms in Open Source Software Ecosystems Working paper Link: preprint
Selected Work
- The dynamics of leadership and success in software development teams Nature Communications (2025) Link: paper
- Large language models reduce public knowledge sharing on online Q&A platforms PNAS Nexus (2024) Link: paper Media/Press: WSJ
- Digital Traces of Brain Drain: Developers during the Russian Invasion of Ukraine EPJ: Data Science (2023) Link: paper Media/Press: WSJ · Bloomberg · New Scientist
- Agency independence, campaign contributions, and favouritism in US federal government contracting Journal of Public Administration Research and Theory (2022) Link: paper Beryl Radin Award
- The Geography of Open Source Software: Evidence from GitHub Technological Forecasting & Social Change (2022) Link: paper Media/Press: Presentation at OFE
- Does Crowdfunding Really Foster Innovation? Evidence from the Board Game Industry Technological Forecasting and Social Change (2021) Link: paper Media/Press: Data Skeptic podcast
- How Gamification Affects Software Developers: Cautionary Evidence from GitHub ICSE (2021) Links: paper, preprint Media/Press: Presentation at ICSE
I am the program director of the MSc in Social Data Science at Corvinus University Budapest.
At Corvinus, I teach courses on machine learning and programming. Previously, I taught computational social science and social networks at WU Vienna and RWTH Aachen.
Prospective thesis students and PhD students are welcome to contact me.
Previously, I was an Assistant Professor at the Vienna University of Economics and Business and a researcher at the Complexity Science Hub Vienna. Before that, I was a postdoctoral fellow at RWTH Aachen with Markus Strohmaier.
I received my PhD in Network Science from Central European University in 2019, where my thesis on corruption was supervised by Janos Kertesz. I also hold an MSc in Applied Mathematics from CEU and a BS in Mathematics and Economics from Tulane University.