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Sebastian Pölsterl

AI Researcher

AstraZeneca

I’m an AI researcher in the computational pathology, Oncology R&D team at AstraZeneca and an open-source enthusiast working on machine learning for biomedical applications. My research interests are time-to-event analysis (survival analysis) and causal inference. Previously, I worked at the lab for Artificial Intelligence in Medical Imaging at the Technical University of Munich and The Institute of Cancer Research, London. I’m the author of scikit-survival, a machine learning library for survival analysis built on top of scikit-learn.

Interests

  • Time-to-event analysis
  • Causal inference
  • Heterogenous data
  • Biomedical applications
  • Deep learning

Education

  • PhD in Computer Science, 2016

    Technische Universität München

  • MSc in Bioinformatics, 2011

    Ludwig-Maximilians-Universität & Technische Universität München

  • BSc in Bioinformatics, 2008

    Ludwig-Maximilians-Universität & Technische Universität München

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