Yuki (Yuqing) Wang.

I am a PhD candidate in Criminology, Law and Society at the University of California, Irvine, and a member of the Irvine Laboratory for the Study of Space and Crime (ILSSC). My research focuses on understanding how offenders and victims make spatial decisions — why certain locations are chosen and what environmental characteristics make a place more likely to be targeted. I approach these questions through discrete choice models, spatial econometrics, and network analysis.

On the computational side, I build GPU-accelerated estimation pipelines in JAX for high-dimensional spatial models, achieving orders-of-magnitude speedups over traditional approaches. My work integrates large-scale administrative data, census demographics, and business establishment records to study crime patterns at multiple geographic scales.

I also serve as a reviewer for Social Science & Medicine, Machine Learning: Science and Technology, and the International Joint Conference on Neural Networks (IJCNN 2025).