Gruppo di studio: Dottorato in Probabilità e Statistica e Industria (“PhD
Students in Probability and Statistics meet Companies”)
Il gruppo UMI-PRISMA, il Dipartimento di Scienze Matematiche "G.L.
Lagrange” del Politecnico di Torino e il Dipartimento di Matematica “G.
Peano” dell’Università di Torino organizzano a Torino una tre giorni dal 16
al 18 settembre 2025 usando il formato ridotto dello "Study Group
Mathematics with Industry": il mattino del 16 settembre, le aziende
partecipanti presentano i problemi di loro interesse. Successivamente si
formano gruppi di dottorandi supportati da tutor accademici, che lavorano
su tali problemi e le soluzioni proposte sono discusse nel pomeriggio del
18 settembre.
Al momento hanno già accettato di partecipare le seguenti società:
Novartis (https://www.novartis.com/it-it/)
ToolsGroup (https://www.toolsgroup.com/)
La partecipazione al gruppo di studio è gratuita per dottorandi e
dottorande che stanno svolgendo una tesi di probabilità e/o statistica
matematica. Inoltre sarà disponibile un piccolo supporto finanziario su
richiesta. Il supporto sarà erogato con un criterio di priorità per ordine
di arrivo delle richieste. Infine, sarà rilasciato un certificato di
partecipazione.
In questa fase chiediamo una dichiarazione di interesse a partecipare. La
si può inviare a: laura.sacerdote(a)unito.it prima possibile e comunque entro
il 30 maggio 2025.
Il comitato organizzatore: Gianluca Guadagni, Franco Pellerey, Laura Lea
Sacerdote, Enrico Scalas, Serena Spina, Barbara Trivellato e Cristina Zucca
Dear all,
The Department of Economics and Finance at Luiss University in Rome (https://economiaefinanza.luiss.it <https://economiaefinanza.luiss.it/>) is pleased to announce the following seminar:
Speaker: Alexandra Holzinger, Mathematical Institute, University of Oxford
Title: Fluctuations around the mean-field limit for attractive Riesz interaction kernels in the moderate regime
When: April 3, 14:30
Where: Viale Romania, 32 00197 Rome
Meeting room: 405
Abstract: In this talk I will give a short introduction to moderately interacting particle systems and the general notion of fluctuations around the mean-field limit.
We will see how a central limit theorem can be shown for moderately interacting particles on the whole space for certain types of interaction potentials. The interaction potential approximates singular attractive potentials of sub-Coulomb type and we can show that the fluctuations become asymptotically Gaussians. The methodology is inspired by the classical work of Oelschläger in the 1980s on fluctuations for the porous-medium equation. To allow for attractive potentials we use a new approach of quantitative mean-field convergence in probability in order to include aggregation effects.
Should you be interested, please kindly send me an e-mail.
Best wishes,
Marta Leocata
Dear Colleagues,
We are glad to announce the summer school Mathematical methods for
high-dimensional data
<https://sites.google.com/view/math-high-dimensional-data/home>, which will
take place on September 8-12, 2025, at the Mathematics Department of
Sapienza University of Rome.
Lecturers of the school are
Jean Barbier (International Centre for Theoretical Physics)
Marylou Gabrié (École Normale Supérieure)
Alessandro Ingrosso (Radboud University)
Silvia Villa (University of Genova)
The school will also include poster sessions for PhD students and early
postdocs.
To register, please complete the form available on the website (here the
link
<https://sites.google.com/view/math-high-dimensional-data/registration?authu…>).
Participation is free, but registration is mandatory.
The school will launch the Eccellenza Scientific Program dedicated to Data
Science, running through January 2026. This program features workshops,
doctoral courses, and seminar series, focusing on the mathematical methods
underpinning data science. Participants will engage with cutting-edge
methodologies in statistical physics, statistical inference, optimization,
and control, alongside advanced techniques in numerical simulations and
scientific computing for machine learning. By integrating these
disciplines, the program provides an overview of rigorous foundations and
tools for tackling real-world challenges through data-driven approaches.
More about the program will be found on this page
<https://sites.google.com/view/math-high-dimensional-data/home>.
For additional information, do not hesitate to contact us.
Best regards,
The organisers of the school
Elena Agliari
Emanuele Caglioti
Alberto Fachechi
Lorenzo Taggi
--
Alberto Fachechi, PhD
Researcher (RTD-A)
Dipartimento di Matematica G. Castelnuovo
Sapienza Università di Roma
Dear colleagues,
This is a reminder that on Friday, *April 11th*, the fifteenth seminar day
in the “Days in Probability and Statistical Physics” will take place.in at
the Department of Mathematics and Computer Science "Ulisse Dini", Viale
Morgagni 67/a, Florence.
Lecturers:
Prof. *Clara Stegehuis* (Twente University)
Title: Detecting geometry in scale free networks
Prof.* David Belius* (UniDistance Suisse)
Title (Introductory lecture): The story of mean-field spin glasses
Title (Seminar): The Thouless-Andersson-Palmer (TAP) approach to mean-field
spin glasses
Each speaker will give a 45 minutes introductory lecture tailored for
non-experts, followed by another 45 minutes of seminar-style presentation
(see program). More information, including the abstracts, can be found on
the event’s webpage
<https://sites.google.com/unifi.it/florence-probability-group/probability-da…>
.
*Practical notes*: for organization purposes, we kindly ask those who plan
to attend to fill out the following Google Form *by* *April 6*:
https://forms.gle/zYv2BFAmMy42cf8y8
We look forward to seeing many of you and please feel free to share the
announcement with those you think may be interested, particularly to young
researchers!
Luca Avena, Luisa Andreis, Gianmarco Bet and Elia Bisi
Scientific advisory committee: F. Caravenna, E.N.M. Cirillo, F. Colomo, P.
Dai Pra, A. De Masi, C. Giardina`, R. Livi, F. Martinelli, I.G. Minelli, B.
Scoppola, E. Scoppola.
*PROGRAM*
10:30-11:00 Welcome coffee
11:00-11:45 Introductory lecture: Stegehuis
11:45-12:15 Break
12:15-13:00 Seminar: Stegehuis
13:00-14:30 Lunch
14:30-15:15 Introductory lecture: Belius
15:15-15:45 Break
15:45-16:30 Seminar: Belius
You can find here
<https://mail.google.com/mail/u/1/#search/probability+day+11+aprile/FMfcgzQZ…>
the poster of the event.
Dear colleagues and friends,
as part of the GSSI intensive trimester “Particles, Fluids and Patterns: analytical and computational challenges”,
we are glad to announce 3 short courses in April:
April 14-17: Prof. Makiko Sasada (Tokyo)
April 28-30: Prof. Oriane Blondel (Lyon) and Prof. Alessandro Giuliani (Rome)
Please see at the end of the email for the detailed place and time, titles and abstracts.
Other courses hosted by the trimester can be found in
https://trimester2025.math.gssi.it/all_courses/.
Registration is free through the web form: https://indico.gssi.it/event/745/.
We would be grateful if you could circulate the announcement among potentially interested students and researchers.
For any information do not hesitate to contact us (patterns(a)gssi.it).
————————————————
Venue for all courses:
Main Lecture Hall, Gran Sasso Science Institute (Viale F. Crispi 7, L’Aquila)
————————————————
Introduction to probabilistic aspects of integrable systems
Lecturer: Makiko Sasada (The University of Tokyo)
14/4 (Mon) 9:00-10:30
15/4 (Tue) 14:15-15:45
16/4 (Wed) 10:45-12:15
17/4 (Thu) 9:00-10:30
In recent years, there has been growing interest in the study of integrable systems from the perspectives of statistical mechanics and probability theory. The theory of generalized hydrodynamics, developed by mathematical physicists, suggests that the macroscopic behavior of integrable systems is highly universal. To mathematically substantiate such theories with concrete models, a type of cellular automaton called the box-ball system (BBS) has been extensively studied by probabilists in recent years. The BBS, which exhibits solitonic behavior, has been studied from various viewpoints, such as tropical geometry, combinatorics, and representation theory, over 30 years. However, research from the probabilistic perspective began only about 10 years ago. Recently, probabilistic approaches, including the application of the Pitman transform, analysis of invariant measures, and scaling limits, have rapidly expanded. These have revealed new connections between probability theory and classical integrable systems, showing that the macroscopic behavior of integrable systems exhibits a universality distinct from that of chaotic systems.
In this lecture, I will introduce these new research topics, mainly focusing on the box-ball system, and present the rigorous results obtained in the past several years, starting from the basic concepts.
————————————————
Long range order in atomistic models for solids
Lecturer: Alessandro Giuliani (Rome Tre)
28/4 (Mon) 16:15-17:45
29/4 (Tue) 16:15-17:45
30/4 (Wed) 10:45-12:15 & 14:15-15:45
The emergence of long range order at low temperatures in atomistic systems with continuous symmetry is a fundamental, yet poorly understood phenomenon in physics. To address this challenge I will introduce a discrete microscopic model for an elastic crystal with dislocations in three dimensions, originally proposed by Ariza and Ortiz. The model is rich enough to support some realistic features of three-dimensional dislocation theory, most notably grains and the Read-Shockley law for grain boundaries, which I will review and show how to derive microscopically in the context of the Ariza-Ortiz model, at least in a simple, explicit geometry. I will also explain how to analyze the model at positive temperatures, in terms of a Gibbs distribution with energy function given by the Ariza–Ortiz Hamiltonian plus a contribution from the dislocation cores. The main result is that the model exhibits Long Range Positional Order (LRPO) at low temperatures. Its proof is based on the tools of discrete exterior calculus, together with cluster expansion techniques. In this mini-course I will introduce these methods and explain how to combine them in order to prove existence of LRPO. Time permitting, I will discuss some perspectives about the extension of these ideas and methods to two dimensions.
Based on joint work with Florian Theil.
————————————————
Fluctuations in exclusion processes
Lecturer: Oriane Blondel (University of Lyon 1)
28/4 (Mon) 10:45-12:15
29/4 (Tue) 9:00-10:30 & 14:15-15:45
30/4 (Wed) 16:15-17:45
We will focus on weakly asymmetric exclusion processes on the line or half-line, and investigate their fluctuations out of equilibrium. We will review the various tools used in proving convergence to the KPZ equation in the strategy initiated in [Bertini-Giacomin ‘97] and discuss how they can be adapted to the singular initial condition that arises when one considers fluctuations of the facilitated exclusion process at the interface.
————————————————
With our best wishes,
Lu Xu
Assistant Professor (RTDb)
Gran Sasso Science Institute
SEMINARS IN STATISTICS @ COLLEGIO CARLO ALBERTO <https://www.google.com/url?q=https://www.carloalberto.org/events/category/s…>
Venerdì 04/04/2025, presso il Collegio Carlo Alberto, in Piazza Arbarello 8, Torino, si terrà il seguente seminario:
------------------------------------------------
12.00-13.00
Speaker: Sergios AGAPIOU (University of Cyprus)
Title: HEAVY-TAILED BAYESIAN NONPARAMETRIC ADAPTATION OVER BESOV SPACES
Abstract: We will consider the Bayesian recovery of an unknown function from direct observations polluted by white Gaussian noise, and we will be interested in studying the asymptotic performance of the posterior in the infinitely informative data limit, in terms of rates of contraction. We will be especially interested in priors which are adaptive to the smoothness of the unknown function. In the past decade, certain hierarchical and empirical Bayes procedures based on Gaussian process priors, have been shown to achieve adaptation to spatially homogenous smoothness. However, we have recently shown that Gaussian priors are suboptimal for spatially inhomogeneous unknowns, that is, functions which are smooth in some areas and rough or even discontinuous in other areas of their domain. Such unknowns are abundant in applications such as imaging, and can be modeled using Besov spaces, which generalize (the more widely known) Sobolev and Hölder spaces. In contrast to Gaussian priors, we have shown that (similar) hierarchical and empirical Bayes procedures based on Laplace (series) priors, achieve adaptation to both homogeneously and inhomogeneously smooth functions. All of these procedures involve the tuning of a hyperparameter of the Gaussian or Laplace prior. We will introduce Besov spaces and will recall their minimax theory developed in the mid-late 90’s and has various interesting features. After reviewing the above Bayesian results, we will present a new strategy for adaptation to smoothness based on heavy-tailed priors. Specifically, we will show that adaptive rates of contraction in the minimax sense (up to logarithmic factors) are achieved without tuning of any hyperparameters. This adaptation is achieved for both homogeneously and inhomogeneously smooth unknowns, in particular, we will show that the studied heavy-tailed priors are adaptive over all Besov spaces and for all L^p-losses, for p from 1 up to infinity. Extensive numerical simulations corroborating the theory will be presented as well. This is joint work with Masoumeh Dashti, Tapio Helin, Aimilia Savva and Sven Wang (Laplace priors), and Ismaël Castillo and Paul Egels (heavy-tailed priors)
------------------------------------------------
Sarà possibile il seminario anche in streaming: chiunque volesse collegarsi è pregato di inviare una email entro *mercoledì 02/04/2025* a matteo.giordano(a)unito.it <mailto:matteo.giordano@unito.it> .
Il webinar è organizzato dalla "de Castro" Statistics Initiative (www.carloalberto.org/stats <http://www.carloalberto.org/stats>) in collaborazione con il Collegio Carlo Alberto.
Cordiali saluti,
Matteo Giordano
Assistant Professor (RTDA)
Department of Economics, Social Studies, Applied Mathematics and Statistics (ESOMAS)
www.matteogiordano.weebly.com <https://matteogiordano.weebly.com/>
Cari Colleghi,
vi segnalo il seguente seminario, in modalità ibrida, della serie dei MOX COLLOQUIA:
10.04.25 Ore 14:30 - Aula IV, Edificio 11, Politecnico di Milano
Speaker: Mihaela van der Schaar, Faculty of Mathematics, University of Cambridge
Titolo: Can we discover fundamental laws from data using AI?
Abstract:
Discovering fundamental laws governing systems from observational data has long been a hallmark of scientific inquiry. In this talk, I will discuss how recent advances in AI and machine learning enable the automated discovery of scientific laws and governing equations directly from data, revolutionizing the way we unravel system dynamics in numerous domains, including medicine and pharmacology. I will highlight how AI-driven methods uncover underlying principles, from classical physics to biological systems to medicine, and offer insights into future possibilities—transforming data-driven observations into interpretable and actionable scientific knowledge. Yet, can we push this boundary further—going beyond equations entirely? I will introduce direct semantic modeling, a novel paradigm where AI learns the behavior of dynamical systems directly from data without relying on closed-form equations. This semantic approach offers intuitive, human-interpretable insights into system evolution, marking a transformative leap in scientific discovery. (This talk is based on recent research with Krzysztof Kacprzyk, Tennison Liu and Sam Holt.)
Il seminario sarà accessibile online:
https://mox.polimi.it/mox-colloquia-seminars-list/mox-seminars/?id_evento=2…https://cassyni.com/events/SAFbogPTLoJ6dkTvUoNtWy
Seguirà rinfresco.
Cari saluti,
Laura Sangalli
——
Laura Maria Sangalli
MOX - Dipartimento di Matematica
Politecnico di Milano
Piazza Leonardo da Vinci 32
20133 Milano - Italy
(+39) 02 2399 4554
laura.sangalli(a)polimi.it<mailto:laura.sangalli@polimi.it>
https://sangalli.faculty.polimi.it
Ricevo ed inoltro.
Cordiali saluti,
Francesca Collet
________________________________
Da: Richard Kraaij <R.C.Kraaij(a)tudelft.nl>
Inviato: giovedì 27 marzo 2025 16:05
A: Francesca Collet <francesca.collet(a)univr.it>
Oggetto: Open PhD Positions at TU Delft in Probability, Geometry, PDEs, and Optimal Transport
Dear colleagues,
The TU Delft Applied Probability section has three open PhD positions in the area where probability theory intersects with geometry, PDEs, and optimal transport.
https://careers.tudelft.nl/job/Delft-PhD-Position-in-Probability-Theory-and…
– Application deadline: April 6
https://careers.tudelft.nl/job/Delft-PhD-Position-in-Probabilty-Theory-and-…
– Two positions available, application deadline: April 27
If you know anyone who might be interested, we would greatly appreciate it if you could share this opportunity within your networks and with potential candidates.
Best regards,
Rik Versendaal & Richard Kraaij
Diffondo molto volentieri
Dear Colleagues,
We are pleased to announce that the website for *the 10th conference on
BSDEs to be held in Shandong University, Qingdao, P.R. China, from June 26
to July 1, 2025*, is now ready:
https://bsde2025.conferencesvc.com/
Here, you may find:
- Key dates & submission guidelines
- Registration details
- Information on organizing sessions
- Updates on invited speakers (The list of confirmed **invited speakers**
will be updated on the website by the end of this month)
**Call for Participation:**
We warmly encourage you to:
✔ Submit proposals.
✔ Register early to secure your spot.
Best regards,
Juan Li
Shandong University, Weihai & Qingdao
On behalf of the local organizers.
--
Gianmario Tessitore
Dipartimento di Matematica e Applicazioni
Università degli Studi di Milano-Bicocca