- Wildlife poaching is a serious threat
- Historic data on ranger patrolling and detecting illegal poaching incidents can be leveraged to train ML models
- Predictive ML models for poaching risk are shown effective in Field studies in 3 different protected areas
Starting Spring 2018, Bistra Dilkina is a Gabilan Assistant Professor of Computer Science at the University of Southern California. She is also an Associate Director of the Center for AI in Society (CAIS). Before that, Dilkina was as an Assistant Professor in the College of Computing at the Georgia Institute of Technology and a co-director of the Data Science for Social Good Atlanta summer program. She received her PhD from Cornell University in 2012, and was a Post-Doctoral Associate at the Institute for Computational Sustainability until 2013. Dilkina is one of the junior faculty leaders in the young field of Computational Sustainability, and has co-organized workshops, tutorials, special tracks at AAAI and doctoral consortium on Computational Sustainability. Her work spans discrete optimization, network design, stochastic optimization, and machine learning.