Tristan Luca Saidi

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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

selected publications

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    EmbedOR: Provable Cluster-Preserving Visualizations with Curvature-Based Stochastic Neighbor Embeddings
    Tristan Luca Saidi, Abigail Hickok, Bastian Rieck, and 1 more author
    2025
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    Recovering Manifold Structure Using Ollivier Ricci Curvature
    Tristan Luca Saidi, Abigail Hickok, and Andrew J. Blumberg
    The Thirteenth International Conference on Learning Representations, 2025
  3. material_diffusion.png
    Ab initio structure solutions from nanocrystalline powder diffraction data via diffusion models
    Gabe Guo, Tristan Luca Saidi, Maxwell W Terban, and 3 more authors
    Nature Materials, 2025