CV

Applied Scientist Intern

Amazon Alexa AI · Turin, Italy

Working on post-training for large language models.

Visiting Scientist

Bristol Myers Squibb (CITRE) · Seville, Spain

Developed LLM-based methods to extract gene-regulatory interactions from scientific literature and construct gene-regulatory networks.

PhD Researcher in Efficient Deep Learning

University of Trento · Trento, Italy

Research on model compression, sparsity, quantization, and scalable evaluation pipelines for large AI models.

Visiting PhD Researcher

Vrije Universiteit Amsterdam · Amsterdam, The Netherlands

Investigated sparsity patterns for knowledge disentanglement in controller-based continual and meta reinforcement learning.

Research Intern · Exchange Student

University of Twente · Enschede, The Netherlands

Applied AI to complex networks, linking network science and deep learning.

PhD in Computer Science

University of Trento · Trento, Italy

Master's Degree in Computer Science

University of Trento · Trento, Italy · Final grade: 110 cum laude/110

Master's Degree in Computer Science · Erasmus Exchange

University of Twente · Enschede, The Netherlands · GPA: 3.9

Bachelor's Degree in Information Engineering and Business Organization

University of Trento · Trento, Italy · Final grade: 107/110

GECCO 2024

The Genetic and Evolutionary Computation Conference · Melbourne, Australia

CVPR 2024

Computer Vision and Pattern Recognition · Seattle, WA, USA

ICLR 2023 Workshop on Sparsity in Neural Networks

Virtual attendance

PPSN XVII

Parallel Problem Solving from Nature · Dortmund, Germany