معرفی
Marco Giulini is a postdoctoral researcher at Utrecht University, affiliated with the Biomolecular Sciences department under the Science school. His work focuses on advanced computational methods for modeling protein-protein interactions, leveraging techniques like machine learning, integrative bioinformatics, and coarse-grained simulations.
- Expertise in Software Development, Machine Learning, and Computational Structural Biology
- Key research areas: Protein Complex Modeling, Antibody-Antigen Interactions, and Mapping Entropy
- Contributed to tools like HADDOCK3 and ARCTIC-3D for biomolecular simulations
His recent publications highlight applications of machine learning in structural biology, integrative modeling of biomolecular complexes, and AI-driven approaches for drug discovery. Giulini collaborates extensively with experts in computational biophysics and structural biology.
۰مقاله منتشرشده
