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.

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.

Teaching in 2025–2026:

Sequence Analysis and Markovian Modelling