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Filip Edström

PhD student in Statistics at USBE, interested in causal models and their applications in AI.

Contact

filip.edstrom@umu.se

+46 90 786 67 35

Works as

Doctoral student at Umeå School of Business, Economics and Statistics (USBE) Section: Statistics

Samhällsvetarhuset, Biblioteksgränd 6, A20212 / SAM.C.216 Umeå universitet, 901 87 Umeå

Affiliated as doctoral student at Centre for Transdiciplinary AI

Robot causal discovery aided by human interaction

2023 32nd IEEE International Conference on Robot and Human Interactive Communication (RO-MAN), IEEE 2023 : 1731-1736

Edström, Filip; Hellström, Thomas; de Luna, Xavier

Parametrization of Reactive Force Field using Metropolis Monte Carlo

Edström, Filip

View publications in DiVA

Research projects

1 January 2023 until 31 December 2026

ROCC – Robots with Causal Capabilities

I am a teaching assistant in Statistik A1 (https://www.umu.se/utbildning/kurser/statistik-a1/) and teacher in Data Analytics with R (https://www.umu.se/en/education/courses/data-analytics-with-r-part-1/).

Published: 11 Dec, 2022

A new AI collaboration between computing science and Umeå School of Business, Economics and Statistics will give robots "common sense"