Evi Sijben

Full Name: E.M.C. Sijben
Function(s): PhD student

Email: Evi.Sijben@cwi.nl
Telephone: +31 20 592 4014
Room: M278
Department(s): Life Sciences and Health

Biography

Evi Sijben did a Bachelor in Computing Science at the Radboud University in Nijmegen (2014-2018). She continued her studies with a master in Computing Science with specialization Data Science also at the Radboud University (2018-2020). Her master thesis was about Shapley values, a method for explaining predictions, and how to use the causal knowledge about the variables when doing so. She started in February 2021 as a PhD student at CWI (in collaboration with LUMC) where she researches the use of evolutionary algorithms to make transparent, reliable and unbiased predictions in health-care.

Research

Publications:

Heskes, T., Sijben, E., Bucur, I. G., & Claassen, T. (2020). Causal Shapley Values: Exploiting Causal Knowledge to Explain Individual Predictions of Complex Models. Advances in Neural Information Processing Systems, 33.

Current projects with external funding

Transparent, Reliable and Unbiased Smart Tool for AI (TRUST-AI)