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Welcome to my webpage!

I'm a computer scientist based in Ferrara, Italy

About

I'm an Italian computer scientist specialized in Machine Learning.
I've studied in Gothenburg , Singapore , and Sydney , and I'm now based in Ferrara .
I love tackling hard tasks with AI, analyzing data, running machine learning sessions and delivering innovative solutions.
My goal for 2024 and 2025 is to deploy my technical skills for AI-based entrepreneurial ideas.
Please feel free to get in touch if you are interested in collaborating.

Here are my resume &email:

(English)
(Italian)

Research

I work on a few projects involving the application and formalization of new symbolic machine learning algorithms. The main research line revolves around the idea of equipping standard decision trees with the ability of performing temporal or spatial reasoning, so that they can natively handle time series, images, videos and, more generally, unstructured data that extends along temporal and/or spatial dimensions. This is done by adopting logical formalisms that are able to express entity-relation reasoning, for example, predicate logics or modal logics of space and time. The team I am working with is a mixture of logicians interested in modal logic, and machine learning people interested in interpretability; we have been following this lead for three years, achieving remarkable results for a few tasks of time series classification and image classification. Check out my publications.

My work is supervised by Prof. Guido Sciavicco under the ACLAI Lab initiative.

Why AI?

I've always enjoyed automating things, and Artificial Intelligence (AI) is the essence of automating hard tasks. A hard task is one that you as a human can carry out, but have trouble in teaching a digital computer to, perhaps because there is no “perfect” procedure for it, or because the thought process required for solving it is complex and unclear, even to you. Machine Learning, today's primary enabler of AI, seeks the solution in data; in fact, data has the answers to many hard questions, and oftentimes you just have to word your questions in the right way.