Jouni Helske profile picture
Jouni
Helske
Academy Research Fellow, INVEST Research Flagship Centre
PhD (Statistics)
CAUSALTIME and PREDLIFE projects

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
statistical software development, e.g. R packages.

Biography

I am a 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. I am also 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.


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

I am not teaching at the moment.

Research

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 time series models, causal inference, visualization of complex data and models, and statistical software development.

Publications

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