medical ai scientist · scarlet

Eneko Uruñuela

Medical AI Scientist at Scarlet, working at the intersection of artificial intelligence, medical devices, and healthcare. I also build open-source tools for brain imaging and clinical AI.

skills & tools

ML / DL

PyTorchscikit-learnGNNsDiffusion ModelsCNNs

Languages

PythonTypeScript

Engineering

DockerGitCI/CDHPC / SLURMTesting

Web

Next.jsReactTailwind CSS

Tools

TanaAI AgentsClaude Code

latest note

March 18, 2026

Open Source: The Key to a Transparent and Collaborative Scientific Publishing Landscape

The scientific publication process often suffers from inefficiency and delays. Valuable knowledge that could save lives can take up to two years to be published and shared among scientists. This is primarily due to the lengthy peer review process, which involves a paper being reviewed by two to three scientists before acceptance. Let’s examine the current peer review process in more detail and explore opportunities for improvement.Typically, authors must wait several months after submitting their paper for qualified reviewers to assess it. Reviewers are provided with a plain text form for feed...

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