Rianne Schouten is a PhD Candidate at Eindhoven University of Technology in the Data Mining Group, the Netherlands. Her research focuses on Exceptional Model Mining for heterogeneous datasets with time-dependent variables (a pattern mining framework).

In addition, she develops statistical methods for incomplete datasets. In particular, Rianne developed a multivariate amputation procedure for creating a missing data mask for complete datasets. She implemented her work first in statistical software R (in function ampute in package mice).

Now, together with Davina Zamanzadeh, Rianne releases a brand-new amputation library for Python: PyAmpute (documentation at https://rianneschouten.github.io/pyampute/).

A full overview of Rianne's publications and activities can be found at her website: https://rianneschouten.github.io. She can be reached through e-mail: r.m.schouten@tue.nl