Profile
I am leading the research group on statistical learning and inference for spatiotemporal data.
We work on tackling theoretical data science problems and developing statistical learning methods for solving real-life problems, which originate from various application areas, including atmospheric icing, automobile industry, biomedical engineering, climate research, epidemiology, forestry, geochemistry and hydrology, radiation oncology, spatial ecology, sports science, and transportation.
Regarding the statistical learning and inference studied: statistical learning with sparsity, compressive sensing, mathematics of data science, hierarchical spatiotemporal modelling, nonparametric density/intensity estimation and smoothing techniques, statistical inference for hidden Markov models and random fields, summary statistics for point processes, and wavelet theory applied to signal and image analys.
In terms of data analysis tools: intelligent data sampling using compressive sensing, large-scale environmental data model, multimodal image processing, tree growth models, and general modelling of biological populations in space and time.
Current Projects
The Latest Posts
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Duty before all?
Duty before all? by Martin Rosvall "So, you are on your way home? When I was at your age, I never went home until eight o'clock!" It was only five [...]
IceLab’s First Lunch Pitch
Coverage of IceLab's first Lunch Pitch In order to promote meetings between researchers from different institutions and disciplines, Icelab organizes multidisciplinary research presentations with the vision of letting ideas grow [...]
Different pressures in different places
Different pressures in different places: a new method to track evolution across variable environments by Jonas Wickman The problem Evolution – or, as many people understand it, survival of [...]
Memory in Network Flows
Memory in network flows and its effects on spreading dynamics and community detection The problem In today's connected world, pressing problems call for efficient mapping and modeling of flow pathways [...]