Soung Ryu is an interdisciplinary modeler and interpreter with nine years of experience bridging complex ecological research and practical, high-stakes language services. Holding a PhD in Biology and advanced training in systems and landscape ecology, Soung has deep expertise in building, validating, and applying quantitative models and extracting causal relationships from diverse datasets using tools like ArcGIS, STELLA, and SAS. Currently working as a Korean-English interpreter across emergency, medical, legal, and financial settings, Soung combines calm performance under pressure with strong customer service and compliance training. Past roles as a university assistant professor, postdoc in conservation biology, and editor/assessor for academic translations underscore a rare mix of rigorous research, scientific communication, and real-world stakeholder engagement. Eager to pivot into data science, Soung brings both domain knowledge in ecological systems thinking and practical experience turning complex data into actionable insight.
9 years of coding experience
9 years of employment as a software developer
Master of Science - MS, Forest Ecology, Master of Science - MS, Forest Ecology at Korea University
Doctor of Philosophy - PhD, Biology, Doctor of Philosophy - PhD, Biology at The University of Toledo
Contributions:288 commits, 279 pushes, 1 branch in 1 year 11 months
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