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 and hidden Markov models. I also do applied statistics mostly in sociology and other areas of social sciences, 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 efficient and accurate Bayesian methods for estimating causal effects especially in the context of complex multivariate time series models (e.g, panel data). More broadly, my research interests are related to computational statistics, especially Bayesian methods, time series models such as state space and hidden Markov models, causal inference, visualization of complex data and models, and statistical software development.

I am not teaching at the moment.