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Umeå University
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Staff photo Filip Edström
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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

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
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/).