I am running the high dimensional data analysis research group at the Mathematics department of U.H. This group brings together researchers, faculties and students, with various backgrounds and interests but who share a common focus on developing new mathematical frameworks and numerical methods for the modeling and analysis of databases made of large numbers of high dimensional observations living in potentially non-Euclidean spaces.

The group holds meetings every two weeks. Below is the current schedule of presentations from participants:

• March 17 2025
  
  - Robert Azencott: Optimized Prediction of Brain Disorder severity.
  
  - Dan Lior: Towards Optimal Design of Aortic Reconstruction Minimizing Viscous Energy Loss. Slides



• March 31 2025
  
  - Nicolas Charon: Machine learning and geometric data analysis. Slides



• April 14 2025
  
  - Emmanuel Hartman: Parameterization Invariant Feature Vectors For Shape Learning. Slides
  
  - Ming Zhong: Recent Advances in Learning from High-Dim Dynamical Systems. Slides



• April 28 2025
  
  - Ziheng Guo: Noise Informed Learning from Stochastic Dynamics. Slides
  
  - Michael Holland: Transformer for Modeling Physical Systems. Slides



• May 19 2025
  
  - Charles Puelz: T.B.A.