Qi is a current PhD student, having advanced to candidacy in 2024. He is working on development of models for dependent data that utilize various deep learning architectures to improve prediction. He recently presented his work on Spatial Deep Convolutional Neural Networks at the 2024 Joint Statistical Meetings.

Publications

• Wang, Q., Parker, P.A., Lund R., and Woody, J. (2026+) A Spatio-Temporal Study of Planetary Snow Presence Trends.
• Kei, Y.L., Wang, Q., Parker, P.A., Ribalet, F., Hyun, S. (2026+) Change Point Detection for Cell Populations Measured via Flow Cytometry.
• Wang, Q., Parker, P.A., and Lund R. (2025) Hierarchical Count Echo State Network Models with Application to Graduate Student Enrollments. Data Science in Science, Special Issue on ``Data Science in the Federal Government”, 4(1), https://doi.org/10.1080/26941899.2025.2565243.
• Wang, Q., Parker, P.A., and Lund R. (2025) Spatial Deep Convolutional Neural Networks. Spatial Statistics, 66, 100883.