Email: robin.forsberg@helsinki.fi
University of Zurich
Department of Computer Science
Social Computing Group
Andreastrasse 15
CH-8050 Zürich
Switzerland
As an economist with expertise in computational methods and the analysis of large-scale social media data, I design scalable, decision-oriented and user-facing data products that drive insights for strategic decision-making. I am a former Facebook Global Operations specialist and currently work as a technology consultant at Buildbite. Additionally, I am a quantitative Ph.D. researcher at University of Helsinki, and visiting researcher at University of Zurich's Social Computing Group, working at the intersection of machine learning, behavioral science, economic theory and social media research.
My technical expertise includes big data engineering in SQL, building machine learning applications in PyTorch and Sklearn, software development in Python, and risk management in R in multiple industries and academia. I am a professionally accredited statistician (GradStat, Royal Statistical Society). Over the past six years, I have worked in research and technology roles across five countries - Finland, Denmark, Ireland, the United States, and Switzerland. I speak Finnish, Swedish, English and German, and some French and Russian.
Ph.D. candidate in social data science, University of Helsinki (2022-present), with a methodological focus on natural language processing, statistics and network analysis applied to analyzing political influence (lobbying), non-market risk and strategic user behavior on social media using large-scale data.
B.Sc. and M.Sc. in economics, Hanken School of Economics (graduated 2019), with expertise in econometrics and causal inference of time series analysis of credit expansion and housing prices in Nordic real estate markets.
Working as Global Operations specialist at Facebook, Inc. in Ireland (2020-2021). Responsible for the Finnish market, in my role I generated and analysed policy insights for the EMEA region, directly supporting decision-making for senior leadership, resulting in improved resource allocation and recognition from management. Additionally, I co-led an operation to remove far-right political networks in the Nordic market.
As contributor to the Wilson Center (see my work here) and participant of Manfred Wörner Seminar of 2022 of the Bundeswehr and German Marshall Fund of the United States, I had the opportunity to discuss current defense and security policy challenges with North American and European colleagues and gain exciting insights into the current work of the most important institutions of our security architecture such as NATO and the European Commission.
Presenting my research 'Using explainable AI to enhance the internal validity of large language models in ambiguous political text classification' at the 11th International Conference on Computational Social Science in Norrköping, Sweden, in July 2025. In picture with colleague from University of Zurich.