Graph Neural Networks in different fields of application. From pandemic dynamics forecasting over drug discovery, traffic forecasting to topological data analysis methods.

Current Project(s):

• Work on DAKI-FWS in the following sub-projects:
  • pandmic dynamics forecasting with spatio-temporal resolution
  • weather-data enhanced traffic forecsating with graph neural networks
  • analysis of patient reported symptom data for respiratory diseases (spec. COVID19)

• Tutor & Administration in "Introduction to Deep Learning" / "Deep Learning" in summer semester 2022.
• Lectures in "Python for Data Science in Digital Health" block-seminar at HPI on Data visualization and statistics (winter semester 2021 - ongoing)

Taleb, A., Loetzsch, W., Danz, N., Severin, J., Gaertner, T., Bergner, B., & Lippert, C. (2020). 3d self-supervised methods for medical imaging. Advances in Neural Information Processing Systems, 33, 18158-18172.

Danz, N., Derwisch, O., Lehmann, A., Pünter, W., Stolle, M., & Ziemann, J. (2020). Security and Privacy of Decentralized Cryptographic Contact Tracing. IACR Cryptol. ePrint Arch., 2020, 1309. (Authors in alphabetical order)