Starmus VIII
Dr. Lilian Pintea is a conservation biologist and remote sensing scientist whose research spans chimpanzee habitat monitoring; wildlife suitability and connectivity modeling; mobile, camera trap, bioacoustics and drone-based wildlife surveys, One Health ecology, and, most recently, AI-assisted behavioral data analysis and quantum-enhanced agent-based modeling. He holds a Ph.D. in Conservation Biology from the University of Minnesota (2007), where his dissertation established the first rigorous multi-temporal remote sensing baseline for Gombe National Park and the Greater Gombe Ecosystem, Tanzania and application of geospatial technologies to chimpanzee research and conservation.
As Vice President of Conservation Science at the Jane Goodall Institute USA, he bridges the gap between high-tech innovation and community-led conservation. Dr. Pintea leads implementation of a global science strategy and a multi-continental research program operating across Tanzania, Uganda, the Republic of the Congo and the Democratic Republic of Congo. He worked for decades in partnership with Dr. Jane Goodall and now continues her legacy through the integration of AI, satellite imagery, and geospatial tools to equip people living alongside wildlife habitats as guardians of their own landscapes.
Dr. Pintea holds Principal Investigator roles on funded NASA Applied Sciences, AWS Imagine and other research grants and serves on the Gombe PI Consortium, the scientific governance body overseeing 65+ years of continuous chimpanzee behavioral and ecological data at Gombe Stream Research Centre. He is the co-author of “Local Voices, Local Choices: The Tacare Approach to Community-Led Conservation.”
Current research frontiers: NASA OPERA Land Surface Disturbance alerts for chimpanzee habitat surveillance; AI-assisted digitization and analysis of the Gombe longitudinal behavioral archive; hybrid quantum-classical optimization on IonQ hardware applied to primate intergroup behavior simulation; and multi-sensor SAR/optical/UAV data fusion for fine-scale ecosystem monitoring and Digital Twins.
