Workshop theme

This week-long workshop will provide an introduction to the core theoretical and applied engineering topics of the DDE programe. Three sessions will be devoted to foundational techniques and methodologies including (i) reinforcement learning and control, (ii) uncertainty quantification and data assimilation, and (iii) model reduction. Another three sessions will be devoted to introductions to current and future challenges for data-driven engineering arising from (i) aeronautics, (ii) chemical and (iii) structural engineering. The tutorials will lay the foundation for the follow-up activities of the DDE programe and the deep-dive study periods in particular. The tutorial workshop is suited in particular for PhD students, postdocs and earlier career scientists from mathematics, statistics, computer science, and computational engineering.


  • Sean Meyn (Algorithm design for reinforcement learning and optimization)
  • Sebastian Reich (Uncertainty quantification and data assimilation)
  • Karthik Duraisamy (Model order reduction for complex systems)
  • Luca Magri (Physics aware machine learning in engineering),
  • Antonio del Rio Chanona (Process control and supply chain optimization)
  • Elizabeth Cross (Data-driven structural assessment)


January 16 – 20, 2023


Cambridge, UK or Online (more information in the application section)

More information

Application Deadline: 30 Sep 2022