Niek Tax

Research Scientist

I am a Research Scientist at Meta in the Statistics & Privacy team, where I work on applied research problems in the space of causal AI and causal inference. Research topics that interest me include heterogeneous treatment effect estimation, off-policy evaluation, (adversarial) robustness, online learning, and ranking. Previously, I worked on applied machine learning for fraud detection at I have a PhD degree in process mining from Eindhoven University of Technology, under supervision of Prof. W.M.P. van der Aalst.


Causal inference, causal machine learning, machine learning applications, process mining

Latest Publications

KAIS - June 30, 2021

Fire Now, Fire Later: Alarm-Based Systems for Prescriptive Process Monitoring

Stephan A. Fahrenkrog-Petersen, Niek Tax, Irene Teinemaa, Marlon Dumas, Massimiliano de Leoni, Fabrizio Maria Maggi, Matthias Weidlich