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Umeå University
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Latest news

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.

Grants from Forte and Handelsbanken

Research funding of 10.8 million has been granted from Forte and Handelsbanken.

Features

Developing accurate statistical methods

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

Infrastructures

Computational Analytics Support Platform (CASP)
We aim to support researchers understand complex biological systems via the use of data-driven modelling tools
Research area: Chemical sciences, Computing science, Infection biology, Statistics
Umeå SIMSAM Lab
Umeå SIMSAM Lab
Research area: Demography, Public health and health care science, Sociology, Statistics

Research projects

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
Trade-offs in Nonconvex Learning
Research area: Mathematics, Statistics
Duration 1 April 2022 until 31 March 2027
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
Mathematical Programming
Mathematical Programming Group develops theory, methods, and software for efficiently solving optimization and decision problems using modern...
Research area: Mathematics, Statistics
Stat4Reg
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
Stochastic Processes and Numerical Methods
The research group is led by Prof. Oleg Seleznjev at the Department of Mathematics and Mathematical Statistics .
Research area: Mathematics, Statistics