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AI researcher and co-founder at MIRAI.

See a CV.


Contacts

[last name] . eta@gmail.com


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you should learn about Azat Miftakhov

Greta Coraglia

I am a mathematician specializing in category theory, type theory, and theoretical computer science, with a strong drive to apply foundational ideas to real-world AI systems. My interest sits at the intersection of categorical and probabilistic reasoning: I am passionate about working out how compositionality can guide inference, enabling systems that are both expressive and transparent.

I co-founded MIRAI with industry experts, driven by the conviction that AI compliance should be built on transparency and fairness, not just on ticking boxes. At MIRAI I lead end-to-end R&D across several projects, combining applied research with hands-on development to turn ideas into concrete, working solutions.


What I work on

My work sits at the bridge between research and engineering, ensuring theoretical insights become tested, maintainable, and explainable solutions aligned with regulatory requirements.

ML fairness & classification. In-depth assessments of classification algorithms, analysing performance, robustness, and fairness metrics to inform model selection and deployment decisions.

Generative AI & RAG. Designed and evaluated Retrieval-Augmented Generation pipelines, focusing on retrieval quality, answer faithfulness, and end-to-end system performance. Research findings translated directly into architectural and implementation improvements.


Talks & Dissemination

A few of my tries at making math and AI for everyone.


Publications

AI, fairness & logic

Category theory & type theory


Background

Previously a postdoc with LUCI Lab at the University of Milan, on the BRIO project, and a member of the Scientific Committee of the ItaCa community. PhD from the Mathematics Department at the University of Genova, under the supervision of Pino Rosolini with the logic group.