
About
Alexander Miguel Monzon is an Associate Professor in the Department of Information Engineering at the University of Padova, Italy, specializing in non-globular proteins including disordered and repetitive proteins. His work has significantly advanced bioinformatics through co-authorship of critical databases like DisProt, RepeatsDB, MobiDB, PED, and FuzDB, which represent the state-of-the-art in structural biology for non-globular proteins.
Education:
- PhD in Basic and Applied Sciences (2018), National University of Quilmes, Argentina
- MSc in Bioinformatics (2012), National University of Entre Ríos, Argentina
His research focuses on protein aggregation, structured tandem repeats, and intrinsic disorder. Recent work explores AI integration in protein research, conformational ensemble modeling, and sustainable computational methods. His publications span structural biology, database development, and machine learning applications.
Monzon actively participates in international consortia including COST-action NGP-net, MSCA RISE IDPfun, REFRACT, H2020 Twinning PhasAGE, and serves as main proposer of the COST action ML4NGP. He has contributed to community standards for machine learning reporting in biology via the DOME Registry.
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