๐๏ธ Hausdorff Trimester Program - Geometric Statistics 2026
Hausdorff Research Institute for Mathematics โ advancing mathematical research at the forefront of science.I am honored to be invited to participate in the Dual Trimester Program on Geometric Statistics: theory, application, and computation at the Hausdorff Research Institute for Mathematics (HIM) in Bonn, Germany from September 14 to December 12, 2026.
This is an exceptional opportunity to engage with leading mathematicians and researchers working at the forefront of geometric and statistical methods in mathematics.
Program Overview
The trimester program spans three months and includes multiple schools, workshops, and conferences:
School on Geometric Statistics
September 14-18, 2026
- Foundational lectures on geometric statistics
- Theory and applications of statistics on manifolds
- Computational methods for geometric data analysis
Workshop: Stochastic Analysis, Statistics, and Computation on Manifolds and Singular Spaces
October 12-16, 2026
- Advanced topics in stochastic analysis
- Statistical methods on curved and singular spaces
- Computational algorithms and implementations
Workshop: Geometry, Topology, and Learning on Smooth and Singular Spaces
November 9-13, 2026
- Learning theory perspectives on geometric problems
- Topological data analysis methods
- Applications to machine learning on manifolds
Conference: Interactions of Statistics and Geometry III (ISAG III)
December 7-11, 2026
- Presentation of cutting-edge research
- Dialogue between statisticians and geometers
- Exploring new directions in geometric statistics
About Hausdorff Research Institute for Mathematics
The Hausdorff Research Institute for Mathematics (HIM) is an international center devoted to advancing research in mathematics and mathematical economics. HIM brings together:
- A critical mass of expertise and scientists at one location
- An inspiring mathematical atmosphere
- Opportunity for mathematicians to work on challenging projects undisturbed
- Direct discussion with leading experts in their field
This unique environment has consistently led to substantial output of research results of the highest quality, with many projects initiated, pursued, and sometimes completed during HIM programs.
Program Goals
By participating in this trimester program, I aim to:
- Deepen knowledge in geometric statistics and their applications
- Explore connections between geometry, topology, and machine learning
- Engage with world-leading experts in the field
- Collaborate on research projects addressing fundamental problems
- Build connections with the international mathematics community
Research Interests Alignment
The program aligns perfectly with my research interests in:
- Geometric and topological deep learning
- Mathematical foundations of GNNs and topological methods
- Applications of geometry to machine learning
- Algebraic and differential geometric approaches
Learn More
For more information about HIM and the Geometric Statistics program:

Iโm a PhD student at the Department of Computer Science, University of Luxembourg, deep diving into the mathematical foundations of geometrical/topological deep learning. I am currently working under Professor Jun Pang.
Beyond research, Iโm passionate about staying active through gym workouts, climbing, martial arts, and kickboxing. I enjoy reading novels and occasionally play Tabla, a classical Indian percussion instrument.