Leveraging Simulation Data to Understand Bias in Predictive Models of Infectious Disease Spread

Jan 1, 2024·
Andreas Züfle
,
Flora D. Salim
,
Taylor Anderson
,
Matthew Scotch
,
Li Xiong
,
Hao Xue
,
Ruochen Kong
,
David J. Heslop
,
Hye-Young Paik
,
C. Raina MacIntyre
· 0 min read
Type
Publication
ACM Trans. Spatial Algorithms Syst.
publications
Kacper Sokol
Authors
Postdoc

Kacper Sokol is a postdoctoral researcher at the Faculty of Informatics, Università della Svizzera italiana (USI), affiliated with the People-Centered Computing Lab.

Research interests

His research primarily focuses on the explainability of data-driven predictive systems based on artificial intelligence and machine-learning algorithms, with a particular interest in their applications within the medical field.