Email: robin.forsberg@helsinki.fi
University of Zurich
Department of Computer Science
Social Computing Group
Switzerland
Computational analysis of user behavior on social media
Machine learning and artificial intelligence
Behavioral economics
Statistical modeling and quantitative analysis
Data engineering and development of analytical products
Teaching and scientific writing
I am a computational behavioral scientist and machine learning researcher specializing in computational methods and empirical analysis of large-scale social media data. Using modern tools, I develop scalable data products and analytical systems that support evidence-based strategic decision-making related to human behavior.
My background spans academia, the technology industry, and consulting. I previously worked in Global Operations at Facebook and currently advise B2B SaaS companies as a technology consultant. In 2026, I lectured a course in data analytics and programming at Hanken School of Economics. Additionally, I am a quantitative Ph.D. researcher at the University of Helsinki and a visiting researcher at the University of Zurich's Social Computing Group, working at the intersection of deep learning and machine learning, behavioral science, economic theory, and social media research (click here for a list of publications).
My technical skills include big data engineering with SQL, building machine learning applications in PyTorch and Scikit-Learn, software development in Python, and statistical analysis in R using modern data intelligence platforms such as Databricks across 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, as well as some French and Russian.
Ph.D. candidate in social data science, University of Helsinki (2022- present), with expertise in machine learning, behavioral science, and statistical analysis. Dissertation: 'Deep Learning in Text-as-Data: Computational Studies in Political Behavior on Social Media Using Transformer Networks'. From 2024 to 2026, I was a visiting researcher at the University of Zurich, Department of Informatics, as a member of Prof. Dr. Anikó Hannák's lab.
B.Sc. and M.Sc. in economics, Hanken School of Economics (graduated 2019), with expertise in econometrics and Granger causal inference in time series analysis of credit expansion and housing prices in Nordic real estate markets. Before graduating, I did my ERASMUS exchange at Copenhagen Business School. After graduating, I worked as a visiting scholar at Johns Hopkins SAIS, Foreign Policy Institute, headed by Dr. Daniel S. Hamilton, in Washington, D.C.
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.