MODESTO
Research group in Probability and Stochastic Modeling
About us
We are a research group from the Department of Mathematics at the University of Buenos Aires. Our members include Professors, PhD students, and undergraduate students. We focus on probability theory and stochastic modeling, exploring both theoretical aspects and applications. Our research covers a variety of topics, including interacting particle systems, stochastic processes, quasi-stationary behavior, random growth, synchronization, machine learning (metric and geometric learning, optimal transport and Wasserstein barycenters), and non-equilibrium statistical mechanics. We are particularly interested in scaling limits, phase transitions, and the long-term/large scale behavior of stochastic systems. Some of our work also involves applications to physics, biology, and other interdisciplinary areas where randomness plays a key role.
As part of CONICET and the University of Buenos Aires, we aim to contribute to the mathematical understanding of complex stochastic phenomena while fostering collaborations with researchers along Argentina and worldwide. For more details on specific projects and publications, please visit our individual pages or contact us directly.
Our weekly seminar takes place every Friday at 12 p.m. in Room 1209, Pabellón 0 + infinito, Ciudad Universitaria. These meetings provide a space to share ongoing work, discuss recent progress, and exchange ideas. The goal is to foster collaboration and strengthen our sense of community.
We encourage students to join us — whether you're curious about our research areas, looking for a space to listen and learn, or thinking about getting involved in the future. No prior experience or commitment is necessary: don't hesitate to come and meet us.
Those interested in attending as listeners can join our Telegram group to receive reminders, or check this website for up-to-date information. If you would like to give a talk, feel free to contact us through this site or by email at modesto@dm.uba.ar .
Ian Bounos
PhD Student
Optimal Transport - Causal Statistics - Data Science.
Ciro Carvallo
PhD Student
Synchronization - Random Graphs - Complex Systems.
Cecilia De Vita
PhD Student
Synchronization - Random Graphs - Kuramoto Model.
Sebastián Zaninovich
PhD Student
Random growth - KPZ scaling - Ballistic Deposition.
Collaborators
We have the pleasure of collaborating with the following researchers in different academic settings:
Publications and Preprints
2025
- The size of the sync basin resolved. C. De Vita, J. Fernández Bonder, P. Groisman and Y. Zhang. Preprint.
- GUE Fluctuations Near the Axis in One-Sided Ballistic Deposition. P. Groisman, A. Ramírez, S. Saglietti, and S. Zaninovich. Preprint.
- Phase Synchronization in Random Geometric Graphs on the 2D Sphere. C. De Vita, P. Groisman and R. Huang. Preprint.
- Quasi-stationary distributions for subcritical population models. P. Groisman, L. Rolla, and C. Terra. Preprint.
- Siamese networks for Poincaré embeddings and the reconstruction of evolutionary trees. C. Carvallo, H. Bocaccio, G. Mindlin, and P. Groisman. The ANZIAM Journal, Volume 67, 2025, e25.
- Reconstructing Attractors with Autoencoders. F. Fainstein, G. Mindlin, and P. Groisman. Preprint.
- Scaling Limit of the Kuramoto Model on Random Geometric Graphs. F. Cirelli, P. Groisman, R. Huang, and H. Vivas. To appear in Siam Journal on Applied Mathematics.
- The energy landscape of the Kuramoto model in one-dimensional random geometric graphs in a circle. C. De Vita, J. Fernández Bonder and P. Groisman. SIAM Journal on Applied Dynamical Systems, Vol. 24, No. 1, pp. 1–15 (2025).
Seminars
Events
Upcoming events of interest to our group:
Past events:
Some pictures
