Key note talks

1. Terry Lyons – University of Oxford: “The connection between rough paths and data science”.
2. Juergen Jost – MIS: “Mathematical approaches for the analysis of data”. 

Mini-courses

1. Harald Oberhauser – University of Oxford: “Describing laws of stochastic processes with expected signature moments and cumulants”.
2. Thomas Cass, Imperial College London, UK: "Topologies and functions on unparameterised path space"
3. Maud Lemercier – University of Oxford: "Signature Kernel Methods".
4. Cristopher Salvi - Imperial College: "Infinite width-depth regimes of Recurrent ResNets."
5. Emilio Rossi Ferrucci – University of Oxford: Foundation of rough path theory.
6. Yue Wu - University of Strathclyde: “An introduction to the log-ODE method”.
7. Hao Ni - University College London: “Generative models for time series generation: a rough path approach”.
8. Weixin Yang (University of Oxford): "Developing the path signature methodology and its applications to some real-world machine learning challenges"
9. Duc Luu - MPI-MIS & IMH-VAST: Tracking attractors via discrete rough paths.
10. Nam Vo - Vin BigData: Machine Learning Methods for the Understanding of the Human Genome.

Panel session

1. Panel session (Friday afternoon 24/2/2023): Potential mathematical research directions in data analysis.