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Current position
Current position
Research Data Scientist, Bank of Finland (since April 2026),
Monetary Policy and Research Department
Previous positions
Previous positions
Researcher, Bank of Finland (2023–2026)
Research Assistant, Bank of Finland (2023)
Senior Statistician, Statistics Finland (2019–2023)
Statistician, Statistics Finland (2018)
Trainee, Statistics Finland (2018)
Education
Education
Ph.D. in Economics, University of Jyväskylä (2026)
Dissertation: "Essays on Expectations and Communication in Macroeconomics" (accepted with distinction)
Reviewers: Michael Ehrmann and Michael Weber
Opponent: Michael Ehrmann Supervisor: Kari Heimonen
M.Sc. in Economics, University of Jyväskylä (2019)
B.Sc. in Economics, University of Jyväskylä (2017)
Peer-reviewed publications
Peer-reviewed publications
Haavio, M., Heikkinen, J., Jalasjoki, P., Kilponen, J., Paloviita, M., & Vänni, I. "Reading between the lines: Uncovering asymmetry in the central bank loss function." Journal of Money, Credit and Banking, forthcoming.
Heikkinen, J., & Heimonen, K. (2025). "Media tone: The role of news and social media on heterogeneous inflation expectations." Journal of Forecasting, 44(3), 881–921.
Heikkinen, J., & Heimonen, K. (2024). "Nowcasting the nowcasting – Forecasting ISM Business surveys (PMI and NSI) with weekly Google trends." Applied Economics, 56(51), 6300–6313.
See Research page for full list, working papers, and policy contributions.
Selected recognitions
Selected recognitions
3rd Place, 2025 ESCB/SSM Hackathon – "From news to forecast: Experimenting with AI time series models"
Ph.D. dissertation accepted with distinction
Conferences and workshops (selected)
Conferences and workshops (selected)
2025: Finnish Economic Association Annual Meeting, ICMAIF 29, Banque de France AI Methods Conference, Summer Seminar of Finnish Economists
2024: European Economic Association (EEA), ICMAIF 28, Econometrics Meets NLP Summer School (SIdE)
2023: CIRET, Finnish Economic Association Annual Meeting, ICMAIF 27
Skills
Skills
Programming: R, Python, MATLAB, SQL, SAS, LaTeX
Platforms: Cloud ML & big data platforms (Azure ML, Databricks)
Methods: NLP, text analysis, machine learning, time series forecasting, econometrics
Languages
Languages
Finnish (native), English (full professional proficiency)
References
References
Esa Jokivuolle, Head of Research, Bank of Finland
Kari Heimonen, Professor, University of Jyväskylä
Summer in Kuhmo, Finland
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