Alessandro Zani

40 hours of class lecture in physics (classical mechanics and thermodynamics) to undergraduate engineering students

Key responsibilities and achievements: + Data analysis and feature engineering + Implementation of data pipelines with supervised and unsupervised machine learning (e.g. classification, anomaly detection, clustering) and deep learning algorithms + Presentation of methodology and results to a number of different kind of audience Methodologies: + Work in agile environment in direct contact with the all the project stakeholders + Team work based approach in everyday activities, coordination and planning of junior collaborators tasks.

+ Conceive and develop automation tools to discard manual and low-added value activities + Execution in line with processes typical of an IT factory.

+ Develop and manage a statistical pricing model for financial products + Understand complex contracts and extract key elements to report to executive level management

+ Conceive and prepare experiments of on single-particle coherent diffractive imaging at free-electron laser facilities + Analysis of large amount of data to get to understand the underlying phenomena + Present results to international level experts

Different time periods spent as visiting PhD student at the UHI laser facility within the Saclay Laser-matter Interaction Center (SLIC).

Thesis title: "Experimental and theoretical studies on ultraintense laser-driven ion acceleration" Supervisor: Prof. Matteo Passoni

Major: Plasma Physics

Major: Nanotechnology and Photonics