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Rocio Mercado is a Postdoctoral Research Fellow in Data Science and Artificial Intelligence at the University of Gothenburg. Her research focuses on the application of machine learning techniques to predict chemical synthesis outcomes and understand complex biological processes. She has contributed to multiple projects, including investigating PROTAC-mediated ternary complexes, utilizing deep learning models such as decision transformers and AlphaFold3 for predicting molecular interactions and drug metabolism. Rocio actively collaborates with interdisciplinary teams, applying advanced numerical methods to education and training in AI-driven chemistry. Her publications include significant contributions to ACS Omega and Artificial Intelligence in Life Sciences, emphasizing the relevance of data-driven approaches in pharmaceutical research. Through her work, she aims to enhance the capabilities of chemical predictions to facilitate drug discovery and development.
University of Gothenburg • Gothenburg, Sweden
Conducting research in data science and artificial intelligence applications in chemistry.
Administered by the Department of Political Science; focus on International Administration and Global Governance (IAGG).