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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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 [...]
March 27th Lunch Pitch: Anders Garpebring, Sophia Harlid and Jian-Feng Mao
March 27th Lunch Pitch: Anders Garpebring, Sophia Harlid and Jian-Feng Mao March 27, 2024 AI for image processing, understanding breast cancer risk and unravelling the complexity of plant genomes were the [...]
March 13th Lunch Pitch: Aftab Nadeem, Barbora Parizkova and Jakob Hultgren
March 13th Lunch Pitch: Aftab Nadeem, Barbora Parizkova and Jakob Hultgren March 13, 2024 Insert favorite scientific problem here:in search of image data for signal processing, machine learning tools for root [...]
New faculty for Stress Response Modeling excellence center
New faculty for Stress Response Modeling excellence center Two faculty positions are now open for application within the excellence center “Stress Response Modeling at IceLab”. IceLab seeks candidates who combine quantitative [...]
February 28th Lunch Pitch: Cemal Erdem and Elin Chorell
February 28th Lunch Pitch: Cemal Erdem and Elin Chorell February 28, 2024 Cemal Erdem introduced his use of machine learning and mechanistic modeling in cancer and disease research, while Elin Chorell [...]
Microbial eco-evolutionary research collaboration with Korea
Microbial eco-evolutionary research collaboration with Korea A STINT-funded research collaboration exchange between IceLab and Korean researchers from Inha University kicks off with a visit to Incheon, Korea February 19th-28th. The research [...]