Jan Voges (Research Group Leader at L3S Research Center, Leibniz University Hannover), partner in the PEARL‑DNA project, visited the Machine Learning for Biomedicine (ML4BM) group at CIMA, University of Navarra, led by Mikel Hernaez.
The visit focuses on scientific exchange and collaboration around key challenges in DNA-based data storage, with particular emphasis on the future of error correction coding. Efficient and robust error-correction methods are essential to ensure reliability and scalability in DNA storage systems, which remain a central objective of the PEARL‑DNA project.
During his stay, Jan is engaging with researchers from the ML4BM group through technical discussions and talks, strengthening links between computational biology, machine learning, and data coding approaches. The ML4BM group specialises in advanced machine learning methods for biomedical data, providing a complementary perspective to PEARL‑DNA’s coding and storage challenges.
This exchange builds on ongoing collaboration within the DNA data storage research community and advances innovative coding strategies and interoperable solutions for next-generation storage technologies. The PEARL‑DNA project aims to develop a complete, end‑to‑end platform that improves the speed, accuracy, and efficiency of DNA-based digital data storage.