Maria Rodriguez Martinez, PhD
Associate Professor of Biomedical Informatics and Data Science, Yale School of Medicine; Member of Yale Center for Systems and Engineering Immunology
Dr. María Rodríguez Martínez earned her Ph.D. in Physics and completed postdoctoral research in computational biology at the Weizmann Institute and Columbia University. From 2013 to 2023, she led a lab at IBM Research (Switzerland) where she developed machine learning approaches for cancer personalized medicine. In May 2024, she joined Yale School of Medicine as an Associate Professor in the Department of Biomedical Informatics and Data Science. Her research focuses on developing interpretable AI models that integrate mechanistic insights in computational immunology.
What do you do with Data Science?
I am a physicist specializing in the integration of mechanistic and AI-driven models to address complex challenges in biomedicine, with a particular focus on cancer and immunology. My work involves developing novel deep learning algorithms and mechanistic approaches to model immune receptors, single-cell proteomics, and drug sensitivity, with the goal of enabling AI-driven personalized medicine. In this domain, my team has developed interpretable AI models for drug response prediction and T-cell receptor binding specificity. My future goals include advancing the development of multi-scale models to simulate immune responses during cancer immunotherapy and ensuring these models are interpretable for transparent and reliable clinical application.