A student-led AI research group focused on medical imaging, computer vision, and responsible machine learning.
Founded in 2024, Arché Intelligence Lab is a research-focused academic initiative dedicated to advancing artificial intelligence through innovation, scientific exploration, and real-world impact.
The lab works across areas such as machine learning, medical imaging, computer vision, and explainable AI — bringing together emerging technologies and collaborative research to build responsible, intelligent, and future-ready solutions.
The lab promotes rigorous research, open science, and impactful publications. Our goal is to contribute credible knowledge to the global academic community — work that holds up after the dataset changes and the spotlight moves on.
To advance AI research that is transparent, ethical, and impactful — contributing credible knowledge to the global academic community.
The beliefs that guide every project and publication — a working method we hold each other to, not a poster on a wall.
Open science principles guide every project. Our methods, data, and results are shared with the community — not gated, not paraphrased, not after the embargo lifts.
Every claim is backed by rigorous experimentation and statistical validation. Effect sizes, confidence intervals, and ablations — not just the headline number on the median split.
We prioritize responsible AI development with careful consideration of societal impact — who the system helps, who it could harm, and how that balance shifts when it leaves the lab.
AI systems should be interpretable. We build models whose decisions can be understood and trusted — by clinicians, by reviewers, and by the people the predictions are made about.
Our experiments are designed to be fully reproducible — code, configuration, and seeds. If a result can't be re-run by someone else, it isn't a result yet.
We welcome motivated students and researchers who share our commitment to rigorous, impactful AI work.