معرفی
Dr. Matteo Degiacomi is a Visiting Associate Professor in the Department of Physics at Durham University. His research focuses on integrative computational methods combining machine learning and molecular dynamics simulations to model biomolecular systems at near-atomistic resolution.
- Education: MSc in Computer Science (2008), PhD in computational biophysics (2012) from EPFL.
His work leverages ion mobility, cross-linking, SAXS, and electron microscopy data to study protein assembly mechanisms. Recent publications highlight applications in virology, nanomaterials, and membrane protein dynamics. He develops open-source tools like ClayCode and JabberDock.
Scientific awards include a Swiss National Science Foundation Early Postdoc Mobility Fellowship (2013-2017) and an EPSRC Junior Research Fellowship (2017-2020). He supervises postgraduate researchers Ajeeth Kanagarajan, Breanna Voss, and Listra Ginting.
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