About Dimitri URBAIN

Hey! I'm Dimitri, a second-year Bachelor's student in Computer Science at EPFL. I love building useful things, especially tech projects. More generally, I’m driven by solving real problems and turning ideas into something concrete :)

My research focused on privacy-preserving machine learning. I developed a hybrid training framework that allows AI models to learn from data split across public and private environments, using external computing resources while keeping sensitive data local.

I am a/an:

Undergraduate Leadership & Research Scholar

University

EPFL (École Polytechnique Fédérale de Lausanne)

Laidlaw Cohort Year

2026

Research Topic

Computer Science Machine Learning

Area of Expertise

Computer Science

I am from:

France

I speak:

Belarusian English French German Russian

My hobbies/interests are:

Gym Programming

Intro Content

Can AI Still Learn When Data Cannot Be Shared?

Poster Artificial Intelligence Computer Science

Research, EPFL

Can AI Still Learn When Data Cannot Be Shared?

Strong AI models rely on large, diverse datasets. But what happens when some data cannot be shared, while training relies on external, untrusted infrastructure? This project explores whether AI can still learn from both public and private data without bringing them together.