Originally from and educated in Argentina. My academic background combines Physics and Mathematics. I currently hold a Faculty position at the Sciences' School of Universidad de La República (Montevideo, Uruguay). There, I am part of the Probability and Statistics group.

I also give popularization talks as a part of Cuántica para Todos.

Research Interests:

• Bayesian statistics

• High-Dimensional Inference

• Disordered Systems

• Asymptotics of Stochastic Processes

• Random graphs and Network modelling

• Quantum information and foundations

List of publications:

• J. Barbier, M. Sáenz, and P. Sur. "A Bernstein-von-Mises analogue for the posterior mean in high-dimensional GLMs under proportional asymptotics''. (2023) [To appear]

• J. Barbier, F. Camilli, M. Mondelli and M. Sáenz. "Fundamental limits in structured principal component analysis and how to reach them.'' Proceedings of the National Academy of Sciences 120.30: e2302028120. (2023) Preprint: http://bit.ly/3ggF6hh

• J. Barbier, M. Mondelli, M. S\'aenz, and T. Hou. "The price of ignorance: how much does it cost to forget noise structure in low-rank matrix estimation?''. Advances in Neural Information Processing Systems 35: 36733-36747. (2022) Preprint: http://bit.ly/3TFm8yp 

• J. Barbier and M. Sáenz. ''Marginals of a spherical spin glass model with correlated disorder''. Electronic Communications in Probability 27 (2022): 1-12. Preprint: https://bit.ly/3gKQOBe

• J. Barbier, W.K. Chen, D. Panchenko, M. Sáenz. "Performance of Bayesian linear regression in a model with mismatch." (2021) Preprint: https://bit.ly/3B3OTyy [Under review]

• M. Jonckheere, M. Sáenz. "Exact asymptotic characterisation of running time for approximate gradient descent on random graphs." (2021). Preprint: https://bit.ly/3FhuGYh [Under review]

• J. Barbier, D. Panchenko, M. Sáenz. "Strong replica symmetry for high-dimensional disordered log-concave Gibbs measures." (Information and Inference: A Journal of the IMA, Volume 11, Issue 3, September 2022, Pages 1079–1108. Preprint: http://bit.ly/3EMv9jK

• M. Jonckheere, M. Sáenz. ''Asymptotic optimality of degree-greedy discovering of independent sets in Configuration Model graphs''. Stochastic Processes and their Applications 131 (2021): 122-150. Preprint: https://bit.ly/2SN0jyz

• P. Bermolen, M. Jonckheere, F. Larroca, M. Sáenz. (2019). "Degree-Greedy Algorithms on Large Random Graphs". ACM SIGMETRICS Performance Evaluation Review, 46(3), 27-32.  Preprint: https://bit.ly/2Jbm8py

• F. Holik, A. Plastino, M. Sáenz. ''Natural information measures in Cox' approach for contextual probabilistic theories''. Quant. Inform. and Comp., 2016 vol. 16 p. 87 - 104. Preprint: https://bit.ly/2AExtJn

• F. Holik, A. Plastino, M. Sáenz. ''Generalized probabilities in statistical theories''. Quantum Reports 3.3 (2021): 389-416. Preprint: https://bit.ly/2VLvBb1

• F. Holik, M. Sáenz, A. Plastino. ''A discussion on the origin of quantum probabilities''. Annals Of Physics 340.1 (2014): 293-310. Preprint: https://bit.ly/2RKKPO0

Email: msaenz@cmat.edu.uy

You can also find my complete CV (updated 10/2023) here: