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Umeå University
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Staff photo Filip Edström
Press photo

Filip Edström

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

Contact

E-mail
filip.edstrom@umu.se
Phone
+46 90 786 67 35

Works as

Affiliation
Doctoral student at Umeå School of Business, Economics and Statistics (USBE) Section: Statistics
Location
Samhällsvetarhuset, Biblioteksgränd 6, A20212 / SAM.C.216 Umeå universitet, 901 87 Umeå
Affiliation
Doctoral student at Centre for Transdiciplinary AI
Ladder of intentions: unifying agent architectures for explainability and transferability
Explainable, trustworthy, and responsible ai and multi-agent systems: 7th international workshop, EXTRAAMAS 2025, revised selected papers, Cham: Springer 2026 : 127-146
Gimenez-Abalos, Victor; Tormos, Adrian; Edström, Filip; et al.
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 2025 until 31 December 2028
Generative AI to promote open science in register based research
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/).