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  1. Socorro Esther Dominguez Vidana

    Socorro Esther Dominguez Vidaña (She/her) holds a Master of Data Science degree from UBC and is a data scientist I at University of Wisconsin. She facilitates Programming in Python for Data Science and Introduction to Machine Learning at UBC-ExL. She has an extensive experience in data analysis and computational methods, particularly in the geosciences. She has made significant contributions to the Neotoma Paleoecological Database, focusing on improving data accessibility, integration, and analytical workflows for global ecological and paleoenvironmental research. Her work involves developing innovative approaches to managing and analyzing large datasets, fostering interdisciplinary collaboration. With a strong foundation in research and teaching, Socorro applies data science techniques to enhance scientific understanding and decision-making. She is passionate about creating efficient, impactful solutions to complex data challenges in scientific and technical domains.
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