معرفی
Josh Berryman is a Research Scientist (level 2) at the University of Luxembourg’s Faculty of Science, Technology and Medicine, leading the Biomolecular Modelling team within the Theoretical Chemical Physics group. He holds project management authority (ADR) and is a member of the Luxembourg Institute for Advanced Studies and the Complex Living Systems Initiative. His interdisciplinary research focuses on molecular biophysics, neuroscience, and neurodegenerative diseases, leveraging advanced computational methods including quantum mechanics and machine learning.
Education: BSc in Computational Physics (University of Edinburgh, 2000), MSc in Artificial Intelligence (Edinburgh, 2001), and MSc/PhD in Physics and Life Sciences (University of Leeds, 2009). Professional roles include tenured positions at the University of Luxembourg since 2010 and teaching roles in computational physics and data science. He co-founded the Physics and Materials Science MSc program, developed its computational infrastructure, and currently chairs the BSc Physics sanctions committee.
Research emphasizes biomolecular dynamics, particularly amyloid aggregation mechanisms and their links to neurodegenerative diseases. Collaborations include the AMBER software consortium (co-author of AMBER 14–24) and Luxembourg’s Google partnership in AI-driven molecular modeling (e.g., GEMS system). He coordinates the EU COVAMINF workgroup investigating SARS-CoV2’s potential role in neurodegeneration. Additional roles include non-executive roles in the Luxembourg Physics Society and advocacy for educational reforms through the National Parents Union.
Teaching portfolio includes courses on classical electrodynamics, computational physics, and machine learning. He has supervised three PhD students independently and secured €569,500 in external research funding. His work bridges fundamental science and applied outcomes, with contributions to both academic software tools (AMBER) and cutting-edge AI applications in biomedicine.
