# Mario Trerotola

> Machine-learning systems whose outputs can be audited: which source, which feature, which rule. The decision stays with a person.

Financial supervision is where I work, because it is one of the hardest places to make these systems hold: adversarial data, rules that are written down, and someone who has to answer for the outcome. From 2024 to 2025 I built one inside Italy’s financial markets authority, on an institutional placement from my doctorate; before that, co-founder and CTO of a PropTech backed by Exor Ventures; now a researcher at the University of Salerno. The methods are not specific to finance: model-agnostic explanation, an agent runtime, AI Act patterns for high-risk systems. Open to research collaboration, applied roles, and building with people who have to stand behind what their systems output.

Bilingual site — English at https://www.mariotrerotola.com/, Italian at https://www.mariotrerotola.com/it/. Every claim is sourced: a DOI, a repository, or a named institution.

## Pages

- [Home](https://www.mariotrerotola.com/): Featured research, ventures, contact.
- [Experience](https://www.mariotrerotola.com/experience/): Full roles, ventures and education timeline.
- [InvestShield](https://www.mariotrerotola.com/investshield/): A detection service for authorised intermediaries: it watches the public stream of TLS certificates and captures a dated, hash-sealed copy of a site imitating a bank or an investment firm — while that site is still online.

## Research record

- [ORCID](https://orcid.org/0009-0000-7052-4588): All 9 publications, with DOIs where one exists.
- [GitHub](https://github.com/mariotrerotola): All 14 public repositories.

## Optional

- [InvestShield, live](https://www.investshield.it/en/): The product itself, not the description of it.