Daniel Hogan is a skilled Data Scientist with experience in geospatial analytics, image processing, and machine learning. As a Senior Data Scientist at In-Q-Tel, Daniel works with large language models and geolocating photographs. Daniel also has a background in physics, holding a PhD, MA, and BS in the field from University of California, Berkeley and The University of Kansas. Throughout their career, Daniel has developed innovative software and tools for data analysis and visualization, showcasing their expertise in the field.
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