Cosmin Bercea is a Ph.D. Student at the Institue of Machine Learning for Biomedical Imaging (IML) at Helmholtz Center Munich and Technical University of Munich (TUM). He received his B.Sc. and M.Sc. in Computer Science from the FAU University in Erlangen, Germany with a focus on pattern recognition and medical image analysis. In his Master’s thesis at Siemens Healthineers in Erlangen, he build novel shared memory neural networks for medical imaging. Prior to his Ph.D., he worked as a research engineer at Bosch Corporate Research where he developed deep learning algorithms for scene understanding for self-driving cars. His research interests lie in interpretable machine learning algorithms for anomaly detection.

Interests
  • Interpretable Machine Learning
  • Anomaly Detection
Education
  • M.Sc. in Computer Science, 2018

    FAU Erlangen

  • B.Sc. in Computer Science, 2015

    FAU Erlangen

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