PhD Ville Laitinen - UTU Research Portal

Ville Laitinen
PhD

- Senior Researcher,
Data-analytiikka (Department of Computing)

velait@utu.fi

: 452E

: https://orcid.org/0000-0002-2653-1673

CV.pdf

Research group webpage

Probabilistic modeling

http://datascience.utu.fi/

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.

Gut Microbiome as a Risk Factor for Future CKD (2025)
- Kidney International Reports
Hellman, Tapio; Yeo, Li-Fang; Palmu, Joonatan; Havulinna, Aki; Jousilahti, Pekka; Laitinen, Ville; Pärnänen, Katariina; Salomaa, Veikko; Lahti, Leo; Knight, Rob; Niiranen, Teemu
Statistical signatures for adverse events in molecular life sciences (2023) Laitinen Ville
Probabilistic Multivariate Early Warning Signals (2022)
- Lecture Notes in Computer Science
Computational Methods in Systems Biology 20th International Conference, CMSB 2022, Bucharest, Romania, September 14–16, 2022, Proceedings Laitinen Ville, Lahti Leo
Probabilistic early warning signals (2021)
- Ecology and Evolution
Laitinen Ville, Dakos Vasilis, Lahti Leo
Taxonomic signatures of cause-specific mortality risk in human gut microbiome (2021)
- Nature Communications
Salosensaari Aaro, Laitinen Ville, Havulinna Aki S., Meric Guillaume, Cheng Susan, Perola Markus, Valsta Liisa, Alfthan Georg, Inouye Michael, Watrous Jeramie D., Long Tao, Salido Rodolfo A., Sanders Karenina, Brennan Caitriona, Humphrey Gregory C., Sanders Jon G., Jain Mohit, Jousilahti Pekka, Salomaa Veikko, Knight Rob, Lahti Leo, Niiranen Teemu
Maternal prenatal psychological distress and hair cortisol levels associate with infant fecal microbiota composition at 2.5 months of age (2020)
- Psychoneuroendocrinology
Aatsinki A, Keskitalo A, Laitinen V, Munukka E, Uusitupa H, Lahti L, Kortesluoma S, Mustonen P, Rodrigues AJ, Coimbra B, Huovinen P, Karlsson H, Karlsson L
A Hierarchical Ornstein-Uhlenbeck Model for Stochastic Time Series Analysis (2018)
- Lecture Notes in Computer Science
Advances in Intelligent Data Analysis XVII: 17th International Symposium, IDA 2018, ’s-Hertogenbosch, The Netherlands, October 24–26, 2018, Proceedings Laitinen V., Lahti L.