Daniel Adams

Bio

Daniel is an Associate R&D Scientist with the Human Geography group at Oak Ridge National Laboratory (ORNL). His research interests lie at the intersection of spatial data mining, inherent randomness, and structured decision-making in geospatial sciences. He frequently applies probabilistic and machine learning techniques, including Bayesian reasoning and deep learning, to domains such as human dynamics, built environment characterization, climate security, and landscape ecology. Daniel is passionate about turning spatial uncertainty into actionable insight for real-world challenges. He holds a Ph.D. from Tennessee Technological University and currently leads the LandScan HD and LandScan Mosaic projects, advancing high-resolution population modeling.

Awards

2022 Tennessee Technological University Creative Research and Inquiry Day - Doctoral Research Award in Computer Science
data: https://www.sciencebase.gov/catalog/item/628d3338d34ef70cdba3c449

2021 U.S. Fish & Wildlife Service - Southeast Region Director's Honor Award

Publications

Other Publications