Nahuel Soprano-Loto

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My research interests are in the area of probability theory. More specifically, I have worked on: phase transitions, micro-structures and patterns formation in statistical mechanics; scaling limits of interacting particle systems; stability of queuing systems.

Affiliations

Since 2018 - Full research grant; Universidad de Buenos Aires

2017-2018 - Postdoc; Universidad de Buenos Aires; Supervisor: P. Groisman

2015-2017 - Postdoc; Gran Sasso Science Institute; Supervisor: E. Presutti

2010-2015 - PhD in Mathematics; Universidad de Buenos Aires; Advisors: P. A. Ferrari and I. Armendáriz; Thesis

2006-2010 - Bachelor in Mathematics; Universidad Nacional de La Plata

Production

Preprints

Generalized max-weight policies in stochastic matching

with M. Jonckheere, P. Moyal, C. Ramírez

Rank Dependent Branching-Selection Particle Systems

with P. Groisman

Published papers

Non local branching Brownians with annihilation and free boundary problems

with A. De Masi, P. A. Ferrari, and E. Presutti

Electron. J. Probab. 24 (2019), paper no. 63, 30 pp.;

Turing Instability in a Model with Two Interacting Ising Lines: Non-equilibrium Fluctuations

with M. Capanna

J Stat Phys (2019) 174: 365.;

Turing instability in a model with two interacting Ising lines: hydrodynamic limit

with M. Capanna

Markov Proc. Rel. Fields, 23(3):401-420, 2017;

Thermodynamics for spatially inhomogeneous magnetization and Young-Gibbs measures

with A. Montino, and D. Tsagkarogiannis

J Stat Phys (2016) 164: 1318;

Phase transition for the dilute clock model

with I. Armendáriz, and P. A. Ferrari

Stochastic Process. Appl., 125(10):3879-3892, 2015;

Book chapters

Hydrodynamics of the N-BBM process

with A. De Masi, P. A. Ferrari, E. Presutti

In Giacomin G., Olla S., Saada E., Spohn H., Stoltz G. (eds) Stochastic Dynamics Out of Equilibrium. IHPStochDyn 2017. Springer Proceedings in Mathematics \& Statistics, vol 282. Springer, Cham;

PhD thesis

Phase transition for dilute models with discrete spins and Young-Gibbs measures for the Ising model

Advisors: P. A. Ferrari and I. Armendáriz

Universidad de Buenos Aires

Thesis