Tristan Luca Saidi
I am PhD student in the Department of Statistics and Data Science at Carnegie Mellon University, fortunate to be advised by Professor Larry Wasserman. I currently work on the theory and application of optimal transport, and I have been extremely lucky to enjoy extensive collaboration with Professor Gonzalo Mena and Professor Florian Gunsilius. I also have a growing interest in semi-parametric statistical theory, for which I have been and continue to work with and learn from Professor Arun Kuchibhotla. Before my time at CMU, I completed my first year of graduate studies at Columbia University in the department of Computer Science, where I was able to work with Professor Andrew J. Blumberg. During this time, I worked on algorithms that use discrete graph curvature to improve geometric data analysis.
latest posts
| May 24, 2025 | Introduction to Differential Geometry |
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publications
- Publication venueEmbedOR: Provable Cluster-Preserving Visualizations with Curvature-Based Stochastic Neighbor Embeddings2025
- The Thirteenth International Conference on Learning RepresentationsRecovering Manifold Structure Using Ollivier Ricci CurvatureThe Thirteenth International Conference on Learning Representations, 2025
- Nature MaterialsAb initio structure solutions from nanocrystalline powder diffraction data via diffusion modelsNature Materials, 2025
- Sampling-based exploration for reinforcement learning of dexterous manipulationarXiv preprint arXiv:2303.03486, 2023
- Autonomous RobotsRxR: Rapid exploration for reinforcement learning via sampling-based reset distributions and imitation pre-trainingAutonomous Robots, 2024
- Wasserstein Parallel Transport for Predicting the Dynamics of Statistical Systems2026