Satu Helske
Senior Research Fellow at Turun yliopisto - University of Turku
Turku, Mainland Finland
Summary
👤
Senior🎓
Top SchoolSatu Helske is a Senior Research Fellow at the INVEST Research Flagship Centre in Turku with 11 years of experience combining sociology and applied statistics to study inequality, intergenerational dynamics, and parental leave across the life course. Holding a PhD in Statistics and the title of Docent in Sociology, she leads the PREDLIFE research consortium and is known for methodological expertise in longitudinal analysis, sequence analysis and for developing the seqHMM package in R. Her career bridges top academic environments—including Oxford and Linköping—and hands-on data science, from survey design to advanced categorical life-course modelling. Colleagues value her ability to translate complex multigenerational theories into reproducible statistical tools that inform policy and family studies.
11 years of coding experience
11 years of employment as a software developer
Doctor of Philosophy (Ph.D.), Statistics, Doctor of Philosophy (Ph.D.), Statistics at University of JyväskyläStatistics, Statistics at University of Bristol
Finnish, English, German, Swedish, French
Github Skills (19)
r10
categorical-data10
time-series10
hidden-markov-model10
network-graph8
factor8
r-package7
igraph7
categorical6
mathematics6
tidyverse6
graph-algorithms6
network-analysis6
graph-theory5
complex-networks5
Programming languages (1)
Github contributions (5)
satuhelske/R_et_co
Nov 2015 - Dec 2015
Contributions:8 pushes, 1 branch in 26 days
helske/seqHMM
Mar 2015 - May 2021
Multivariate and Multichannel Discrete Hidden Markov Models for Categorical Sequences
Contributions:1 release, 28 commits, 1 PR in 6 years 2 months
hidden-markov-modelhidden-markov-modelsmixture-markov-modelsem-algorithmhmm
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.