Facundo Mémoli
Computer Science · The Ohio State University
Publications
177
Citations
4,607
Est. group size
—
Recurring co-author estimate
Active years
25
Publishing since 2001
Facundo Mémoli works in applied and computational topology and geometry, developing mathematical tools to compare and analyze shapes, networks, and data sets that live in different or noisy coordinate systems. Much of his work centers on persistent homology (a way of tracking shape features across scales) and variants of the Gromov-Hausdorff and Gromov-Wasserstein distances (ways of measuring similarity between metric spaces), with applications to data analysis and geometry. Students working with him would likely engage with rigorous mathematical theory bridging topology, metric geometry, and data science.
Publication output has been fairly steady over the past decade, averaging around 8-16 papers per year, with a slight recent decline in the most current years (2024-2025), though this may partly reflect indexing lag.
Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026
- Meta-Diagrams for 2-Parameter Persistence
Discrete & Computational Geometry · 2025
- Geometric bounds for persistence
Transactions of the American Mathematical Society · 2025
- The G-Gromov-Hausdorff Distance and Equivariant Topology
arXiv (Cornell University) · 2025
- $\ell^p$-Stability of Weighted Persistence Diagrams
arXiv (Cornell University) · 2025
- Grassmannian Persistence Diagrams: Special Properties in the 1-Parameter Setting
arXiv (Cornell University) · 2025
- Vietoris–Rips persistent homology, injectivemetric spaces, and the filling radius
Algebraic & Geometric Topology · 2024
- The Gromov–Wasserstein Distance Between Spheres
Foundations of Computational Mathematics · 2024
- Persistent homotopy groups of metric spaces
Journal of Topology and Analysis · 2024
- The persistent topology of optimal transport based metric thickenings
Algebraic & Geometric Topology · 2024
- Curvature Sets Over Persistence Diagrams
Discrete & Computational Geometry · 2024
- Comparison results for Gromov–Wasserstein and Gromov–Monge distances
ESAIM Control Optimisation and Calculus of Variations · 2024
- Classical multidimensional scaling on metric measure spaces
Information and Inference A Journal of the IMA · 2024
- Geometry and Stability of Supervised Learning Problems
arXiv (Cornell University) · 2024
- Geometric Bounds for Persistence
arXiv (Cornell University) · 2024
- Embedding-Projection Correspondences for the estimation of the Gromov-Hausdorff distance
arXiv (Cornell University) · 2024
- arXiv (Cornell University)×68
- Discrete & Computational Geometry×7
- Journal of Applied and Computational Topology×5
- DROPS (Schloss Dagstuhl – Leibniz Center for Informatics)×3
- IEEE Conference Proceedings×3
- Matthew Kahle
Computer Science · The Ohio State University
- Yusu Wang
Computer Science · The Ohio State University
- Dena Marie Asta
Computer Science · The Ohio State University
- Tamal K. Dey
Computer Science · Purdue University West Lafayette
- Simon Zhang
Computer Science · The Ohio State University
This profile was generated automatically from public scholarly data (OpenAlex). Group size and activity levels are estimates derived from co-authorship patterns.
Last updated Jul 19, 2026.
Claim or correct this profile