Ville
Laitinen
Senior Researcher, Data analytics
Doctoral candidate
http://datascience.utu.fi/
Contact
Areas of expertise
Early warning signals
probabilistic modeling
dynamical systems
Biography
I am a doctoral candidate in computer science with background (M.Sc.) in mathematic and physics.
Research
My research interests include probabilistic modeling of dynamical systems, stability properties, early warning signals and related phenomena. My research is mainly motivated by open questions in microbial ecology.
Publications
Statistical signatures for adverse events in molecular life sciences (2023)
(Artikkeliväitöskirja (G5))Probabilistic Multivariate Early Warning Signals (2022)
International Conference on Computational Methods in Systems Biology, Lecture Notes in Computer Science
(Vertaisarvioitu artikkeli konferenssijulkaisussa (A4))
Probabilistic early warning signals (2021)
Ecology and Evolution
(Vertaisarvioitu alkuperäisartikkeli tai data-artikkeli tieteellisessä aikakauslehdessä (A1))
Taxonomic signatures of cause-specific mortality risk in human gut microbiome (2021)
Nature Communications
(Vertaisarvioitu alkuperäisartikkeli tai data-artikkeli tieteellisessä aikakauslehdessä (A1))
Maternal prenatal psychological distress and hair cortisol levels associate with infant fecal microbiota composition at 2.5 months of age (2020)
Psychoneuroendocrinology
(A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä )
A Hierarchical Ornstein-Uhlenbeck Model for Stochastic Time Series Analysis (2018)
International Symposium on Intelligent Data Analysis, Lecture Notes in Computer Science
(Vertaisarvioitu artikkeli konferenssijulkaisussa (A4))