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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Quit: Book Club Snapshot
Quit: A Book Club Snapshot In ‘Quit’ Annie Duke explores the critical moments when walking away can be more beneficial than sticking it out, highlighting the rewards of quitting and the challenges [...]
IceLab kickoff conference propels stress response research
IceLab kickoff conference propels stress response research The kickoff conference for IceLab’s VR-funded Center of Excellence with support from KAW and Kempestiftelserna, held on June 10th and 11th at Umeå University, marked [...]
Model how a microbe can tell a friend from a foe
Model how a microbe can tell a friend from a foe 17 projects from Swedish universities were granted from the SciLifeLab and Wallenberg national program for data-driven life science. Eric Libby and [...]
Open invitation to the IceLab Stress Response Modeling kick-off
Open invitation to the IceLab Stress Response Modeling kick-off Umeå University life science and environmental researchers are invited to participate when IceLab launches its excellence center on stress response modeling. The kick-off [...]
Life’s insiders: Decoding endosymbiosis with mathematics
Life’s insiders: Decoding endosymbiosis with mathematics Endosymbiosis, the intimate and long-term relationship where one organism lives inside another, is a cornerstone of life as we know it, and a key to [...]
IceLab opens project call for shared postdoctoral fellows
IceLab opens project call for shared postdoctoral fellows IceLab invites multidisciplinary research teams to propose projects for a shared postdoctoral fellow, funded by Kempestiftelserna. Project proposals can now be submitted, until May [...]