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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Icelabbers at the Scandinavian Winter Swimming Championship
Icelabbers at the Scandinavian Winter Swimming Championship Doctoral students and postdoctoral fellows in IceLab today are drivers of a highly social, open and adventurous work culture. Recently six of them took this [...]
Scale: Book Club Snapshot
Scale: a Book Club Snapshot ‘Scale’ looks at different scaling laws throughout living systems, cities and companies. The IceLab book club enjoyed reading this in the autumn term 2023 and all the [...]
Happy Holidays and New Year
Happy Holidays and New Year from IceLab Happy Holidays and New Year from the Integrated Science Lab (IceLab) to all our our members, affiliates, funders, collaborators, and [...]
2024 Lunch Pitches
Sign up to give a Lunch Pitch in 2024 IceLab once again invites researchers to share their ideas and engage in discussion with a multidisciplinary audience [...]
For the love of fun in science
For the love of fun in science IceLab's culture creates space for collaboration in a number of ways, including by embracing fun. IceLab multidisciplinary postdoctoral fellow Josephine Solowiej-Wedderburn is one of [...]
Lessons from SFI CSSS
Lessons from the 2023 SFI Complex Systems Summer School Four weeks filled with interesting lectures, exciting discussions and hikes in the beautiful surroundings - this was IceLab PhD student Hanna Isaksson’s [...]