Spatial Statistics & Spatial Transcriptomics
Methods for spatially dependent data, spatial quantile regression, distributed inference, and 3-D alignment of tumor tissue sections using tumor-specific total mRNA expression.
Jilei Lin
Postdoctoral Associate
The University of Texas MD Anderson Cancer Center
My research develops statistical methods for structured and heterogeneous data, with current work in spatial transcriptomics, survival analysis, quantile regression, and transfer learning.
Research
My research develops statistical methodology for structured and heterogeneous data. My current interests include spatial statistics and spatial transcriptomics, survival and censored data, quantile regression, and transfer learning.
Survival & Censored Data
Methods for censored and time-to-event outcomes, including survival-based clustering, transfer learning, and censored quantile regression.
Transfer Learning
Methods for borrowing information across related datasets or populations while accounting for heterogeneity and potential negative transfer.
Publications
Published and Accepted
Smoothed Quantile Regression for Spatial Data
Jilei Lin, Huixia Judy Wang, Lily Wang, and Myungjin Kim. Journal of Computational and Graphical Statistics, 1–12, 2026.
Hybrid Supervised-unsupervised Modeling for Post-hurricane Private Well Contamination Risk Score Using Empirical Validation and Community-Informed Assessment
Jilei Lin (corresponding author), J. Zhang, E. Wei, K. Shea, H. J. Wang, T. V. Apanasovich, J. M. Liddie, E. Hernandez, C. Norford, and X. C. Hu. GeoHealth, 10(6), e2026GH001858, 2026.
Minimizing Post-shock Forecasting Error through Aggregation of Outside Information
Jilei Lin and Daniel J. Eck. International Journal of Forecasting, 37(4), 1710–1727, 2021.
The Application of PROMETHEE Multi-criteria Decision Aid in Financial Decision Making
Mahdi M. Mousavi and Jilei Lin. Expert Systems with Applications, 2020.
Identifying Opinion Leaders in Twitter during Social Events
Jilei Lin, Z. Wang, Y. Huang, and R. Chen. ICCIS, 197–205, 2020.
Revision-Stage Manuscripts
Distributed Inference for Spatial Quantile Regression
Jilei Lin, Huixia Judy Wang, and Lily Wang. Reject & resubmit at Journal of the American Statistical Association: Theory and Methods.
Transfer Learning for Survival-based Clustering of Predictors with an Application to TP53 Mutation Annotation
X. Liu, Jilei Lin, H. Yan, H. Shi, E. Montellier, E. C. Chi, P. Hainaut, and W. Wang. Major revision at Journal of the American Statistical Association: Applications and Case Studies.
Censored Bent-line Quantile Regression with Application in a Study on Experimental Autoimmune Myasthenia Gravis
Jilei Lin, Huixia Judy Wang, and J. Luo. Major revision at Annals of Applied Statistics.
Software
SQBiT
R package for smoothed spatial quantile regression.
DISQ
R package for distributed inference for spatial quantile regression.
CBQR
R package for censored bent-line quantile regression.
PFAS Risk Screening Tool
Interactive application for PFAS prediction and cost-sensitive screening.
Education & Training
Postdoctoral Associate
Department of Bioinformatics & Computational Biology
The University of Texas MD Anderson Cancer Center, Houston, TX.
Advisor: Dr. Wenyi Wang.
Ph.D. in Statistics
The George Washington University, Washington, D.C.
Dissertation: Quantile Regression for Spatial Data and Censored Data.
Advisors: Dr. Huixia Judy Wang and Dr. Feifang Hu.
M.S. in Statistics
University of Illinois Urbana-Champaign.
B.S. in Finance, summa cum laude
Kean University.
Teaching
Introduction to Mathematical Statistics II, Introduction to Business and Economic Statistics, Mathematical Statistics II, GWU.
Regression Analysis, Survival Analysis, Introduction to Business and Economic Statistics, GWU.
Data Analysis and Mathematical Statistics I, GWU.
Applied Regression and Design, Advanced Regression Analysis, University of Illinois Urbana-Champaign.
Mentoring
Maxwell Beveridge, undergraduate student, 2024–2025.
Research Experience
2025–2026
Research Assistant
Predicting drinking water contaminants in underserved areas with transfer learning.
Principal investigators: Xindi Hu and Xiaoke Zhang.
2025
Research Assistant
Data-driven solutions to mitigate hurricane impacts on private wells, drinking water quality, and human health.
Principal investigator: Xindi Hu.
2024–2025
Research Assistant
Unlocking complex heterogeneity in large-scale spatial-temporal data with adaptive quantile learning.
Principal investigator: Huixia Judy Wang.
2023–2024
Research Assistant
Antigen-specific immunosuppression of myasthenia gravis by CAR-engineered Tregs.
Principal investigator: Jie Luo.
Honors & Awards
Minna Miran Kullback Memorial Prize for Leadership and Service
Department of Statistics, GWU, 2026.
PhD Student Poster Competition Award
StatConnect 2025, Vienna, Virginia.
GW Statistics Cornfield Travel Award
Department of Statistics, GWU, 2024.
Professional Service
Computational Statistics & Data Analysis — Referee