Jouni Helske profile picture

Jouni
Helske

Academy Research Fellow, INVEST Research Flagship Centre
PhD (Statistics)
CAUSALTIME project, funded by Research Council of Finland.

Contact

+358 29 450 3114
+358 50 461 1304
Assistentinkatu 7
20500
Turku

Areas of expertise

Bayesian statistics
causal inference
state space models
hidden Markov models
longitudinal data
computational statistics
spatiotemporal models, probabilistic programming
statistical software development, R.

Biography

I am an Academy Research Fellow in Statistics at the University of Turku. I lead the CAUSALTIME project where we develop new Bayesian methods for estimation of short- and long-term causal effects based on complex panel data, using for example dynamic multivariate panel models, hidden Markov models, and synthetic control methods. I also do applied statistics in social science, but also in fields such as epidemiology.

I was previously a PI of the Statistics subproject of the PREDLIFE Consortium at University of Jyväskylä.

I am also an associate editor of the R Journal and rOpenSci statistical software initiative, and an open science ambassador of Open Science Community Turku.

I completed my PhD in statistics at the University of Jyväskylä, Finland, in 2015. Following my PhD I worked as a Postdoctoral Researcher at University of Jyväskylä, at Linköping University, at University of Jyväskylä (again), and Senior Researcher at University of Jyväskylä, before joining the University of Turku.

Teaching

Teaching in 2025–2026:

Sequence Analysis and Markovian Modelling

Research

My current research focuses on developing Bayesian methods for panel data, especially in the context of causal inference, emphasising the importance of clearly communicating the uncertainties of the obtained results. More broadly, my research interests are related to various areas of computational statistics, and statistical software development.

Publications

Sort by: