Tristan Luca Saidi

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I am an incoming PhD student in the Department of Statistics and Data Science at Carnegie Mellon University. Before that, I completed my first year of graduate studies at Columbia University in the department of Computer Science, where I was very fortunate to work with Professor Andrew J. Blumberg and Professor Matei Ciocarlie. During this time, I worked on theoretically grounded methods that use discrete graph curvature to improve geometric data analysis. Before that, I worked primarily on robot learning for dexterous manipulation and spent some time working on reinforcement learning for snake locomotion as well.

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