Luca Di Persio

Foto,  January 26, 2015
Position
Associate Professor
Academic sector
MATH-03/B - Probability and Mathematical Statistics
Research sector (ERC-2024)
PE1_13 - Probability

Research sector (ERC)
PE1_13 - Probability

Office
Ca' Vignal 2,  Floor 2,  Room 10.A
Telephone
+39 045 802 7968
E-mail
luca|dipersio*univr|it <== Replace | with . and * with @ to have the right email address.
Curriculum

The research activity of Luca Di Persio is mainly focused on the following topics:
  •  Stochastic Partial Differential Equations (SPDEs) both in finite and infinite dimensions 
  • Asymptotic Expansion of finite-infinite Integrals
  •  Interacting Particle Systems, Random Walk in Random Media 
  •  Mean Field Games
  •  Time series Analysis and applications to Mathematical Finance 
  • Numerical Methods for Mathematical Finance 
  • Neural networks and applications 

His articles are published by journals mainly devoted to Stochastic Analysis and its applications, particularly with respect to the modelisation of problems arising in the context of Mathematical Finance. Whitin the same ambit takes place his congressual activity, both as organizer and invited speaker to internationally recognized consesses.

His didactic activity, which extends to the organization of courses and lectures within the Stochastic Analysis and applications framework, is mainly devoted to the Theory of Probability and time series analysis. In particular, Luca Di Persio is in charge for the didactic path in Mathematical Finance (Master degree in Mathematics) and he teaches, or  he has taugtht, the following courses: Probability, Stochastic Systems, Stochastic Differential Euqations, Mathematical Finance.

Luca Di Persio is also
  • member of the PhD School in Mathematics, jointly organised by the Mathematics Department of the University of Trento and by the College of Mathematics of the Computer Science Department of the University of Verona
  • coordinator for the European mobility program Erasmus+, activated with the universities of Bielefeld, Munich, Oslo and Wuppertal.

Modules

Modules running in the period selected: 43.
Click on the module to see the timetable and course details.

Course Name Total credits Online Teacher credits Modules offered by this teacher
Master's degree in Mathematics Mathematical finance (2024/2025)   6  eLearning
Master's degree in Data Science Statistical models for Data Science (2024/2025)   6  eLearning
Master's degree in Mathematics Stochastic Calculus (2024/2025)   6  eLearning
Master's degree in Mathematics Mathematical finance (2023/2024)   6  eLearning
Master's degree in Data Science Statistical models for Data Science (2023/2024)   6  eLearning
Master's degree in Mathematics Stochastic Calculus (2023/2024)   6  eLearning
Master's degree in Mathematics Mathematical finance (2022/2023)   6  eLearning
Master's degree in Data Science Statistical models for Data Science (2022/2023)   6  eLearning
Master's degree in Mathematics Stochastic Calculus (2022/2023)   6  eLearning
Master's degree in Mathematics Mathematical finance (2021/2022)   6  eLearning
Master's degree in Data Science Statistical models for Data Science (2021/2022)   6  eLearning
Master's degree in Mathematics Stochastic Calculus (2021/2022)   6  eLearning
Master's degree in Mathematics Advanced topics in financial engineering (2020/2021)   6  eLearning
Master's degree in Mathematics Mathematical finance (2020/2021)   6  eLearning
Master's degree in Data Science Probability for Data Science (2020/2021)   12  eLearning (Teoria)
Master's degree in Mathematics Stochastic Calculus (2020/2021)   6  eLearning
Bachelor's degree in Applied Mathematics Stochastic systems (2020/2021)   6  eLearning
Master's degree in Mathematics Advanced topics in financial engineering (2019/2020)   6  eLearning
Master's degree in Mathematics Mathematical finance (2019/2020)   6  eLearning
Master's degree in Mathematics Stochastic Calculus (2019/2020)   6  eLearning
Bachelor's degree in Applied Mathematics Stochastic systems (2019/2020)   6  eLearning
Master's degree in Mathematics Mathematical finance (2018/2019)   6  eLearning (Parte 2)
(Parte 1)
Master's degree in Mathematics Stochastic differential equations (2018/2019)   6  eLearning
Bachelor's degree in Applied Mathematics Stochastic systems (2018/2019)   6  eLearning (Teoria)
Master's degree in Mathematics Mathematical finance (2017/2018)   6  eLearning
Master's degree in Mathematics Stochastic differential equations (2017/2018)   6  eLearning
Bachelor's degree in Applied Mathematics Stochastic systems (2017/2018)   6  eLearning
Master's degree in Mathematics Mathematical finance (2016/2017)   6  eLearning
Bachelor's degree in Applied Mathematics Stochastic systems (2016/2017)   6   
Master's degree in Mathematics Mathematical finance (2015/2016)   6    (Teoria 1)
Bachelor's degree in Applied Mathematics Stochastic systems (2015/2016)   6    (Catene di Markov in tempo discreto)
(Analisi di serie temporali)
Master's degree in Mathematics Mathematical finance (2014/2015)   6    (Teoria 1)
(Esercitazioni)
Bachelor's degree in Applied Mathematics Probability (2014/2015)   6    (Teoria)
Master's degree in Mathematics Mathematical finance (2013/2014)   6    (Teoria 1)
(Esercitazioni)
Bachelor's degree in Applied Mathematics Probability (2013/2014)   6    (Teoria)
Bachelor's degree in Applied Mathematics Probability (2012/2013)   6    (Esercitazioni)
(Teoria)
Bachelor's degree in Applied Mathematics Probability (2011/2012)   6   
Bachelor's degree in Computer Science Probability and Statistics (2011/2012)   6    (Teoria)

News for students

There you will find information, resources and services useful during your time at the University (Student’s exam record, your study plan on ESSE3, Distance Learning courses, university email account, office forms, administrative procedures, etc.). You can log into MyUnivr with your GIA login details: only in this way will you be able to receive notification of all the notices from your teachers and your secretariat via email and also via the Univr app.

MyUnivr

Di seguito sono elencati gli eventi e gli insegnamenti di Terza Missione collegati al docente:

  • Eventi di Terza Missione: eventi di Public Engagement e Formazione Continua.
  • Insegnamenti di Terza Missione: insegnamenti che fanno parte di Corsi di Studio come Corsi di formazione continua, Corsi di perfezionamento e aggiornamento professionale, Corsi di perfezionamento, Master e Scuole di specializzazione.

Research groups

INdAM - Research Unit at the University of Verona
We collect here the scientific activities of the Research Unit of Istituto Nazionale di Alta Matematica INdAM at the University of Verona
Research interests
Topic Description Research area
Stochastic analysis Stochastic analysis, theory of stochastic partial differential equations in finite/infinite dimension, randomly interacting particle systems,with applications to Mathematical Finance. Mathematics methods and models
Stochastic analysis
Projects
Title Starting date
Study of the integration of stochastic analysis tools with Machine Learning models in the training and operation of Large Language Models (LLM). 2/7/24
Development of Artificial Intelligence methods to support insurance policy sales. 11/21/22
Stochastic Modelling of Financial Markets aiming to develop new concepts for Goal-Based Investment Solutions during Decumulation Phase 5/1/21
Study and development of machine learning techniques for data prediction. 10/22/19
Metodi di controllo ottimo stocastico per l'analisi di problemi di debt-management 3/15/17
Energy markets management by stochastic methods 1/16/17
Advanced numerical methods for financial forecasting 1/12/17
Stochastic Approaches for Forecasting and Hedging in Energy Markets 12/1/16
Stochastic Partial Differential Equations and Stochastic Optimal Control with Applications to Mathematical Finance 3/21/16
Metodi di set-valued analysis e di teoria del trasporto ottimo per la modellizzazione di mercati finanziari con costi di transazione in ambito deterministico e stocastico. 3/12/15




Organization

Department facilities

Share