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The Dumitrascu Group at Columbia University focuses on investigating latent space living systems using machine learning morphogenesis across species scales. Their research is centered around statistical machine learning applied to biomedical data, with an emphasis on developing computational tools for the analysis of genomic data at spatio-temporal scales. The group's mission is to enhance our understanding of cellular behavior, specifically cell fate decision-making, collective behavior, and self-organization in biological systems. They employ experimental design principles and multi-modal data analysis techniques, ensuring the interpretations derived from their machine learning applications are both interpretable and applicable within biological contexts.
Department of Anthropology (GSAS)