Jakub Reha

Jakub Reha

PhD Candidate in Machine Learning

University of Amsterdam

About

I am a first year PhD student at the Amsterdam Machine Learning Lab (AMLab) supervised by Sara Magliacane, Ana Mićković and Max Welling. I strongly believe that causality can make machine learning more robust and more explainable. My research interests intersect causal inference, reinforcement learning, domain adaptation, time series modelling and graph structured data modelling. I am working on the “Robust fraud detection through causality-inspired ML” project as part of the AI4FinTech initiative.

Feel free to contact me for possible collaborations!

Interests
  • Artificial Intelligence
  • Start-ups
  • Trading
  • Sports, Politics, Travelling
Education
  • MSc in Machine Learning, 2023

    KTH Royal Institute of Technology

  • BSc in General Engineering - Cyber Systems, 2021

    DTU

Recent Publications

(2023). Anomaly Detection in Continuous-Time Temporal Provenance Graphs. In TGL Workshop NeurIPS 2023.

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