My newest policy article (12/2024)
Email: robin.forsberg@helsinki.fi
University of Zurich
Department of Computer Science
Social Computing Group
Andreastrasse 15
CH-8050 Zürich
Switzerland
Field of work
natural language processing
econometrics in financial markets
network science in social media
software development
risk management
As an economist with expertise in computational methods and the analysis of large-scale social media data, I design scalable, user-friendly 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, complex adaptive systems and social media research.
My professional skills and interests include big data engineering, machine learning applications, software development, and risk management in multiple industries and academia. 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, with expertise in natural language processing and computer science applied to identifying political influence and strategic user behavior on social media platforms using large-scale data, University of Helsinki, Finland (2022-present).
B.Sc. and M.Sc. in economics, with expertise in econometrics and causal inference of time series analysis of credit expansion and housing prices in Nordic real estate markets, Hanken School of Economics, Finland (graduated 2019).
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.