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Carlos G. Acevedo-Rocha is a Senior Researcher specializing in Computational Protein Engineering. His research focuses on enzyme discovery and engineering, with a particular interest in selective fatty acid oxyfunctionalization. Carlos is currently supervising several PhD students working on projects that include data-driven engineering of methyltransferases for sustainable biosynthesis of chemicals, perturbing rhythm interventions in enzyme dynamics, and computational modeling of structure-functional relationships in proteins using machine learning. He is also involved in generative AI applications for protein design optimization. Carlos has contributed extensively to multiple research areas and maintains an active presence in academic collaborations and projects.
This requirement applies generally across Technical University of Denmark (DTU) MSc programs including Computer Science, Applied Mathematics, and Engineering disciplines. Specific prerequisites vary by department/curriculum.