معرفی
Tommi Mononen is a University Researcher at the University of Helsinki's Organismal and Evolutionary Biology Research Program. He earned his PhD in Computer Science in 2010, specializing in computational methods for statistical model selection. His interdisciplinary research spans ecology, computational biology, and neuroscience, with current focus on automated species identification for the LIFEPLAN project.
His research integrates computational and statistical approaches across domains:
- Ecology & Evolution: Metapopulation dynamics, host-pathogen systems, and biodiversity monitoring via camera-trap data.
- Computational Methods: Normalized Maximum Likelihood (NML) model selection, Gaussian processes, and optimal control theory applied to biological systems.
- Neuroscience: Multimodal integration of MEG/fMRI for cognitive task analysis.
Recent publications emphasize biodiversity sampling, cellular growth optimization, evolutionary fitness landscapes, and neuroimaging. He actively contributes to projects including the ERC-funded LIFEPLAN (2020–2026) and previously the Centre of Excellence in Metapopulation Research (2000–2011).
Mononen collaborates with research groups led by Otso Ovaskainen (LIFEPLAN), Ilkka Hanski (metapopulations), Anna-Liisa Laine (plant biology), and Ville Mustonen (bioinformatics). He participates in conferences (e.g., Oikos Finland 2023) and peer-reviews for journals like Journal of Grid Computing.
