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Filip Edström

PhD student in Statistics at USBE, interested in causal models and their applications in AI, currently focusing on fairness in machine learning and synthetic data generation.

Contact

filip.edstrom@umu.se

+46 90 786 67 35

Works at

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

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"