Lucy Van Kleunen
Scholar

Lucy Van Kleunen

Google Scholar ID: CcfDf2AAAAAJ
Posdoctoral researcher, KU Leuven Kulak
complex systemsmachine learningexplainable AIcomputational biologycomputational ecology
Citations & Impact
All-time
Citations
99
 
H-index
5
 
i10-index
3
 
Publications
15
 
Co-authors
0
 
Resume (English only)
Background
  • Currently a postdoctoral researcher at KU Leuven Kulak in the Machine Learning and Artificial Intelligence lab of Dr. Celine Vens, part of the Data Driven Healthcare research group.
  • Also a senior researcher at itec, the interdisciplinary research group of KU Leuven and imec.
  • Her current research focuses on using explainable machine learning methods to identify early warning signs of patient decline in acute and chronic healthcare contexts.
  • She is particularly interested in collaborative interdisciplinary projects and applying novel methods from machine learning and network science to extract insights from biological and biomedical data, with an emphasis on model interpretability.
  • Has previously conducted research in human-computer interaction.
Co-authors
0 total
Co-authors: 0 (list not available)