HCM Workshop: Synergies between Data Science and PDE Analysis

Date: June 13 - 17, 2022

Venue: Lipschitz lecture hall, Mathematics Center, Endenicher Allee 60, 53115 Bonn

Organizer: Leon Bungert (Bonn), Franca Hoffmann (Bonn)


The current success story of data science calls for interpretable machine learning methods. For instance, in the context of sampling, graph-based learning or neural networks, PDE-based methods have proven to be both efficient and apt for mathematical analysis.

This workshop brings together experts and young researchers in these two vibrant fields and aims to create a stimulating environment for exchanging scientific ideas and establishing new collaborations.

Key Note Speakers:

  • Andrea Bertozzi (University of California, Los Angeles, USA)
  • Gitta Kutyniok (Ludwig-Maximilians-Universität München, Germany)
  • Adam Oberman (Mc Gill University, Canada)

If you want to participate in this workshop, please fill in the online application here.

This workshop is organized in tandem with the Hausdorff School “Foundational Methods in Machine Learning”.