Hi, my name is

Umberto Di Laudo

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I'm a Data Scientist and Physicist with a passion for applying machine learning to real-world problems. I hold a PhD in Data Science & Artificial Intelligence from the University of Trieste.

01. About Me

Umberto Di Laudo

I am a researcher and data scientist with a solid background in Physics and a PhD in Data Science & Artificial Intelligence.

I work on machine learning and mathematical modeling, combining theoretical thinking with practical Python implementation to solve complex, data-driven problems. My work includes GIS-based marine seabed analysis using ML/DL for image classification and semantic segmentation, as well as experience with Physics-Informed Neural Networks (PINNs) for differential equation modeling.

Location Trieste, Italy
Role Data Scientist
Languages Italian, English
Interests AI, Physics, Football, Chess, Guitar

02. Education

2022 — 2025

PhD

Data Science and Artificial Intelligence

University of Trieste, Italy

Thesis: "Machine Learning for Automated Recognition of Seabed Morphologies"

Research focus: developed novel machine learning algorithms for the classification of seabed morphologies using multibeam echosounder data, achieving state-of-the-art performance and providing new insights into underwater geological processes.

Read the PhD thesis
2019 — 2022

Master's Degree

Theoretical Physics

Alma Mater Studiorum - University of Bologna, Italy

Thesis: "Deconfined Quantum Criticality"

Grade: 110/110

Read the Master's thesis
2016 — 2019

Bachelor's Degree

Physics

Alma Mater Studiorum - University of Bologna, Italy

Thesis: "Statistica Frazionaria e Anioni"

Grade: 110/110

Read the Bachelor's thesis

03. Skills

Languages

Python C++ SQL Bash

ML & AI

PyTorch Computer Vision Deep Learning Physics-Informed Neural Networks Graph Neural Networks

Tools

Git HPC Linux

04. Publications & Projects

Paper

Machine Learning for Automated Seabed Mapping

U. Di Laudo, S. Ceramicola, L. Manzoni

Ital-IA - Thematic Workshop, 2024

We present a novel machine learning framework for the automated classification and segmentation of seabed morphologies using multibeam echosounder data.

Paper

Machine Learning methods for the Atmosphere, the Ocean, and the Seabed

Valentina Blasone, Umberto Di Laudo, Gloria Pietropolli, Luca Bortolussi, Silvia Ceramicola, Gianpiero Cossarini, Luca Manzoni

Ital-IA - Thematic Workshop, 2023

A review of machine learning applications in atmospheric, oceanic, and seabed data analysis.

Conference

Artificial Intelligence and Machine Learning for the Automated Classification of the Seabed

U. Di Laudo, S. Ceramicola, L. Manzoni

37th International Geological Congress, 25–31 August 2024, Busan, South Korea

Conference

Machine Learning for Automated Recognition of Seabed Morphologies

U. Di Laudo, S. Ceramicola, L. Manzoni

Geosciences and Information Technologies, 16–18 June 2025, Milazzo, Italy

Project

Personal Wallet Manager

Open Source

This repository provides a personal wallet manager application with a web-app interface (HTML/JS/CSS), a Telegram bot interface, and a graphical user interface (GUI) with Tkinter. The application allows users to add their expenses categorized into different types and generate statistical reports, such as bar and pie charts, for various time periods.

05. Contact

Let's Talk!

Interested in collaborating, have questions about my research, or just want to chat? Feel free to reach out!

Location Trieste, Italy
Affiliation University of Trieste