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 an interest in semi-parametric statistical theory, for which I have been fortunate 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.

news

Sep 15, 2026 šŸŽ¤ I’m giving a talk at the SIAM MDS minisymposium on optimal transport in November!
Aug 25, 2026 šŸ“– I’m co-hosting an optimal transport reading group with Prof. Gonzalo Mena.
Jul 11, 2026 šŸ“š Our paper on Stochastic Neighbor Embeddings was published in the Proceedings of the National Academy of Sciences
Jun 08, 2026 🧳 Quantitative research intern at Citadel Securities
Feb 26, 2026 šŸŽ¤ Talk at CMU Causal Inference group

latest posts

publications

  1. Second-order Sinkhorn Geometry and √n-Inference
    Tristan Luca Saidi, Gonzalo Mena, Florian Gunsilius, and 1 more author
    In preparation, 2026
  2. Locally Linear Generalized Single Index Regression
    Tristan Luca Saidi and Arun Kuchibhotla
    In preparation, 2026
  3. Tristan Luca Saidi, Gonzalo Mena, Larry Wasserman, and 1 more author
    2026
  4. Tristan Luca Saidi, Gonzalo Mena, and Florian Gunsilius
    2026
  5. Tristan Luca Saidi, Abigail Hickok, Bastian Rieck, and 1 more author
    PNAS, 2025
  6. Tristan Luca Saidi, Abigail Hickok, and Andrew J. Blumberg
    ICLR, 2025
  7. Gabe Guo, Tristan Luca Saidi, Maxwell W Terban, and 3 more authors
    Nature Materials, 2025
  8. Gagan Khandate, Tristan L Saidi, Siqi Shang, and 5 more authors
    Autonomous Robots, 2024
  9. Gagan Khandate, Siqi Shang, Eric T Chang, and 5 more authors
    arXiv preprint arXiv:2303.03486, 2023