• Education

  • Currently completing a PhD in Engineering Science, Department of Engineering, University of Ferrara, 2022-curr.

    • Title: Scalable, probabilistic, and explainable Machine Learning for Big Data

    • Supervisors: Prof. Evelina Lamma, Prof. Fabrizio Riguzzi

    • Currently visiting student at Inoue Laboratory, National Institute of Informatics, Tokyo, Japan (09/2024 - 03/2025)

  • MSc in Computer Science and Automation Engineering, University of Ferrara, 2019-2022 (110/110 cum Laude and honorable mention)

    • Thesis: Application of Machine Learning techniques on a 40-year mental health database (supervisor: Prof. Riccardo Zese, co-supervisor: Prof. Marco Alberti)

  • Bachelor's Degree in Computer Science, University of Ferrara, 2016-2019 (110/110 cum Laude)

    • Thesis: Design, implementation, and testing of an algorithm for the synthesis of temporal decision trees (supervisor: Prof. Guido Sciavicco)

• Professional experience

  • Research assistant, Department of Engineering, University of Ferrara, 2022-2023

Project: Mirc.0: Development of artificial intelligence to promote household current spending sustainability and credit reliability

• • Research assistant, Department of Neuroscience and Rehabilitation, University of Ferrara, 2022

Project: AI4MentalHealth: Use of artificial intelligence for mental health services analysis

• Scientific expertise

  • Probabilistic Inductive Logic Programming

  • Machine Learning

  • Knowledge Representation and Reasoning

  • Neuro-Symbolic AI

• Awards

  • Best Student Paper award for the paper Regularization in Probabilistic Inductive Logic Programming, Elisabetta Gentili, Alice Bizzarri, Damiano Azzolini, Riccardo Zese & Fabrizio Riguzzi, at the 32nd International Conference on Inductive Logic Programming (ILP2023 @ IJCLR)

• Courses and training

  • Teaching assistant for the course Fundamentals of Computer Science, Department of Engineering, University of Ferrara (2022 - curr.)

  • Teaching assistant for the course Programming, Department of Mathematics and Computer Science, University of Ferrara (2023 - 2024)

  • Tutor for Ragazze Digitali (ed. 2023, 2024)

  • Tutor for Module E of the Advanced School in Artificial Intelligence (ASAI) 2022-23 and 2021-22: case studies on deep learning techniques, Department of Engineering, University of Ferrara