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Guilherme Barros
A new thesis in Statistics

Guilherme Barros focuses on challenges in time-to-event studies based on observational data.

AI collaboration will give robots "common sense"

A new AI collaboration will now give robots "common sense".

USBE Scientific Awards 2022

We congratulate Gabriel Wallin, Statistics, Elin Nilsson, Business Administration and Fei Xu, Economics.


Developing accurate statistical methods

Award-winning researcher Tetiana Gorbach develops methods to analyse longitudinal data.


Computational Analytics Support Platform (CASP)
We aim to support researchers understand complex biological systems via the use of data-driven modelling tools
National Bioinformatics Infrastructure Sweden (NBIS)
NBIS provides bioinformatics and data science support to the Swedish life science research community.

Research projects

AI-powered computational materials design enabling efficient development and implementation of sustainable metals
Research area: Materials science, Statistics
Duration 1 January 2024 until 31 December 2024
Type of project Research project
Statistical Learning for Chronosilviculture
Research area: Botany, Mathematics, Statistics
Duration 1 February 2023 until 31 January 2025
Type of project Post-doc project
Innovative statistical and machine learning methods for comparing performance and outcome in register data studies
Research area: Statistics
Duration 1 January 2023 until 31 December 2026
Type of project Research project
ROCC – Robots with Causal Capabilities
Research area: Computing science, Statistics
Duration 1 January 2023 until 31 December 2026
Type of project Research project
Machine learning to study causality with big datasets: towards methods yielding valid statistical conclusions
Research area: Statistics
Duration 1 June 2022 until 31 December 2026
Type of project Research project
Biostatistics and bioinformatics
The biostatistics and bioinformatics group at the Department of Mathematics and Mathematical Statistics, Umeå University, is led by Dr. Patrik Rydé...
Research area: Mathematics, Statistics
Functional Data Analysis and Spatial Statistics
The research group is led by Prof. Sara Sjöstedt de Luna at the Department of Mathematics and Mathematical Statistics.
Research area: Mathematics, Statistics
Geometric Deep Learning
Our research in geometric deep learning is concerned with investigating the role of symmetries and other geometric structures in the context of dee...
Research area: Mathematics, Statistics
Semiparametric regression and numerical methods
We are interested in developing scalable methods for fitting generalized additive models with various shape constraints.
Research area: Mathematics, Statistics
Stat4Reg is a research laboratory, where scientists work at developing causal machine learning models, methods and free software for the analysis o...
Research area: Statistics
Statistical Learning and Inference for Spatio-Temporal Data
Research in signal/image analysis and statistical learning and inference for spatio-temporal data.
Research area: Cancer, Mathematics, Statistics