I conduct my resarch mainly as part of the DAKI-FWS project.

• Graph Neural Networks
• Network Science, especially Human Mobility Networks
• Computational Epidemiology
• Explainablity & Uncertainty in Machine Learning
• Data Visualistation

Summer Term 2024

• Bed-Capacity Forecasting for Hospitals  [Master project, Master]

Summer Term 2023

• Visual Data Exploration and Story Telling - the good, the bad, and the ugly [Seminar, Master]

• Simon Witzke, Noel Danz, Katharina Baum, and Bernhard Y. Renard. ‘Mobility data improve forecasting of COVID-19 incidence trends using Graph Neural Networks’. In epiDAMIK 6.0: The 6th International Workshop on Epidemiology Meets Data Mining and Knowledge Discovery at KDD 2023, 2023. https://openreview.net/forum?id=n1ODM_LrRs.
• Maximilian Kleissl, Lukas Drews, Benedict B. Heyder, Julian Zabbarov, Pascal Iversen, Simon Witzke, Bernhard Y. Renard, and Katharina Baum. ‘SimbaML: Connecting Mechanistic Models and Machine Learning with Augmented Data’. In The First Tiny Papers Track at ICLR 2023, Tiny Papers @ ICLR 2023, Kigali, Rwanda, May 5, 2023, 2023. https://openreview.net/pdf?id=1wtUadpmVzu.

2023

• epiDAMIK 6.0: The 6th International workshop on Epidemiology meets Data Mining
  and Knowledge discovery (KDD) in Long Beach, USA (link), Presentation and Poster presentation with the title: "Mobility data improve forecasting of COVID-19 incidence trends using Graph Neural Networks",

2022

• First International Summer School on Data Science for Mobility in Santorini (Kamari village), Greece (link)