Attila Barna is a Doctoral Fellow at the University of Sheffield, supervised by Dr. Alice Pyne. His research focuses on computational modeling of bacterial cell wall structure and its alterations following antibiotic treatment, using atomic force microscopy (AFM) and deep learning.
He holds an MSc in Physics with a specialization in Scientific Data Analytics and Modeling from Eötvös Loránd University (ELTE), where his work focused on interpretable AI methods for digital pathology, integrating spatial statistics with machine learning to enhance biological understanding. He also earned BSc degrees in Physics (Theoretical Physics specialization) and in Business Administration and Management from ELTE.

Despite being an integral part of the SPM4.0 project and participating in a manner consistent with the other DCs, Attila’s contract is not financed by the MSCA programme, but rather by the UKRI funds.

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