Daniela Ruiz is a Biomedical and Industrial Engineer with a Master’s in Biomedical Engineering from Universidad de Los Andes, specializing in artificial intelligence applications for environmental conservation and medicine. Currently serving as an Applied Research Scientist at Microsoft’s AI for Good Lab, Daniela develops AI tools for biodiversity monitoring and conservation efforts. Previously, Daniela worked as a Summer Research Assistant at North Dakota State University, focusing on ADHD prediction using machine learning, and as a Computer Vision Engineer at anteia, where they developed AI-driven document image analysis solutions. They have also held various teaching and research assistant roles at Universidad de los Andes, contributing to projects in virtual learning and medical image analysis.
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