Autonomous monitoring systems such as acoustic recording units, camera traps, and remote sensing methods (e.g., LiDAR) can provide massive amounts of data to inform biodiversity conservation, yet analyzing these data presents novel computational complexities. In my work, I develop quantitative approaches to leverage these complex data to inform a variety of wildlife and natural resource management objectives.