Physics-informed statistical learning
SPEAKER: Laura Sangalli,
Full Professor in Statistics,
MOX, Department of Mathematics,
Politecnico di Milano, Italy
TITLE: Physics-informed statistical learning
ABSTRACT: In recent years, the recording of increasingly complex and high-dimensional data has surged, presenting challenges that classical statistical methods often struggle to address. Analyzing such data requires the development of innovative approaches that integrate concepts from statistics, applied mathematics, and engineering. In my talk, I will focus on Physics-Informed Statistical Learning methods, which incorporate regularization terms based on Partial Differential Equations (PDEs). These PDEs encode problem-specific knowledge about the underlying phenomena. This approach is particularly effective for handling spatial and functional data observed over non-Euclidean domains, such as linear networks, two-dimensional manifolds, and non-convex volumes. I will demonstrate the utility of these methods through applications in life and environmental sciences.
BIO: Laura Sangalli is Professor of Statistics at the Department of Mathematics of Politecnico di Milano, Milano, Italy, and member of MOX, the Laboratory for Modeling and Scientific Computing of the Department of Mathematics. Her research centers on statistical methods for complex and high-dimensional data, with a focus on Physics-informed statistical approaches for functional and spatial data. She currently act as co-Editor in Chief of Journal of Computational and Graphical Statistics, a flagship journal of the American Statistical Association, and as co-Editor (Section: Methods) of Statistical Methods and Applications, the journal of the Italian Statistical Society. She acted as panel member for ERC Starting grants 2021 and 2023 for PE1 (Mathematics), and various other international granting schemes. She has been Elected Member of the European Regional Committee of the Bernoulli Society (2016-2020) and currently serves as Elected Vice-President of GRASPA, the Section of the Italian Statistical Society devoted to Statistical Applications to Environmental Problems.
DATE/TIME: Thursday 28 November 2024, at 2.30pm CET.
LOCATION: Aula Conforti, Via Porta di Massa 32 (Piano Terra), 80133, Napoli,
The colloquium will also be broadcast online, on Zoom.
Meeting ID: 841 4421 2706 | Passcode: 656302
- Programma
- Ospite
- Participante
- Previsione
- Commenti
I dati meteorologici non sono attualmente disponibili per questa località
Bollettino meteorologico
In corso stec_replace_today_date
stec_replace_current_summary_text
stec_replace_current_temp °stec_replace_current_temp_units
Vento stec_replace_current_wind stec_replace_current_wind_units stec_replace_current_wind_direction
umidità stec_replace_current_humidity %
Sente-se como stec_replace_current_feels_like °stec_replace_current_temp_units
Previsione
Data
Clima
Temperatura
Next 24 Hours
Offerto da openweathermap.org
