🔥 Welcome!

I am Kexin Xie, currently a fourth-year Ph.D. student in the Department of Statistics at Virginia Tech (VT), under the supervision of Professor Xinwei Deng. My research interests focus on developing data-driven approaches and tools by integrating knowledge from design of experiments, statistical learning, and machine learning/artificial intelligence (ML/AI). By bridging design and modeling perspectives, I address both theoretical challenges and practical applications, collaborating closely with domain experts to tackle real-world problems. My work spans diverse fields, including healthcare, biostatistics, economics, and engineering systems.

Specifically, my research covers the following topics:

• Bi-level variable selection for high-dimensional data modeling.
• Experimental design for systems with treatment cardinality constraint.
• Uncertainty quantification with additive Gaussian Process.
• Health and economic modeling for infectious disease interventions.

📝 Publications

Peer-Reviewed Journal Articles

• Ruiz-Castillo, P., Imputiua, S., Xie, K., Elobolobo, E., Nicolas, P., Montaña, J., … & Sacoor, C. (2023). BOHEMIA a cluster randomized trial to assess the impact of an endectocide-based one health approach to malaria in Mozambique: baseline demographics and key malaria indicators. Malaria Journal, 22(1), 172.

• Xie, K., Marathe, A., Deng, X., Ruiz-Castillo, P., Imputiua, S., Elobolobo, E., … & Rist, C. (2023). Alternative approaches for creating a wealth index: the case of Mozambique. BMJ Global Health, 8(8), e012639.

• Xie, K., & Hlynka, M. (2019). Forward and Reverse Parking in a Parking Lot. Applied Mathematical Sciences, 13(22), 1091-1102.

• Xie, K., Marathe, A., Thakur, M., … & Vullikanti. A. (2024). A health and economic evaluation of the spatial spillover effect from measles resurgence. Scientific Reports (under review).

Journal Articles Ready to Submit

• Xie, K., & Deng, X. (2025). Bi-level variable selection of conditional main effects for generalized linear models. To be submitted.

🎖 Honors and Awards

• 08/2024 Fall Technical Conference Student Grant Awards.
• 05/2022 The Raymond H. Myers Award (top 1/18), by Virginia Tech Dept of Statistics.
• 05/2022 The Best SAIG Short Course Development in 2022, by Virginia Tech SAIG.

📖 Educations

• 08/2021 - 05/2026 (expected), Virginia Tech, Ph.D. in Statistics.
• 09/2016 - 06/2020, Dalian University of Technology, B.S. in Mathematics.

💻 Experience

• 08/2021 - 05/2022, Teaching Assistant, Virginia Tech, USA.
• 08/2022 - 02/2025 (now), Research Assistant, Virginia Tech, USA.
• 05/2023 - 08/2023, Summer Research Intern, Biocomplexity Institute, University of Virginia, USA
• 05/2024 - 08/2024, Ph.D. Summer Intern in Advanced Analytics, PJM Interconnection, USA.