Biography
Hello, I am Yishu Xue, Ph.D. in Statistics and a data science passionate. I love data and programming. They together help us approximate the underlying, ever-unknown truths about the world. I am also interested in anthropology, foreign languages (actively learning Spanish), aviation, and photography. I enjoy running. My official PBs:
I like cats a lot. I have a seal lynx mitted ragdoll girl named Adira, though I most often call her “猛虎”, which reads měng hǔ, and means “tiger” in Chinese. She was born on 04/20/2019 in Middletown, PA. She brings wholesomeness to my life. Seeing her enjoying her life gives me huge sense of accomplishment, and endless momentum to pursue better lives for us, perhaps more than a promotion.
Skills
Python
Pandas · NumPy · Plotly · Dash
AI Engineering
Claude Code · Gemini CLI · multi-agent workflows · MCP
Prompt Engineering
chain-of-thought · tool use · RAG · evaluation
Machine/Deep Learning
PyTorch · Scikit-learn · XGBoost · TensorFlow
SQL
MySQL · database design
R
tidyverse · MCMC · survival analysis
Experience
Senior Quantitative Analyst
Google
Quantitative Analyst
Google
Data Scientist, Data Science Leadership Development Program
Travelers Insurance
Recent Publications
- Refereed Journal Publications
Hu, G., Geng, J., Xue, Y., and Sang, H. (2023) Bayesian Spatial Homogeneity Pursuit of Functional Data: an Application to the U.S. Income Distribution. Bayesian Analysis 18(2), 579-605 (Journal Website, arXiv)
Hu, G., Yang, H.-C., Xue, Y.*, and Dey, D.K. (2023) Zero Inflated Poisson Model with Clustered Regression Coefficients: an Application to Heterogeneity Learning of Field Goal Attempts of Professional Basketball. Canadian Journal of Statistics 51(1), 157-172 (Journal Website, arXiv)
Hu, G., Xue, Y., and Ma, Z. (2023) Bayesian Clustered Coefficients Regression with Auxiliary Covariates Assistant Random Effects. Statistical Modelling 23(3), 273-293 ( Journal Website, arXiv, GitHub)
Yang, H.-C.+, Xue, Y.+, Liu, Q., Pan, Y. and Hu, G. (2023) Time Fusion Coefficient SIR Model with Application to COVID-19 Epidemic in the United States. Journal of Applied Statistics 50(11-12), 2373-2387 (Journal Website, arXiv, Supplemental Code)
Xue, Y., and Hu, G. (2021). Online Updating of Information Based Model Selection in the Big Data Setting. Communications in Statistics – Simulation and Computation 50(11), 3516-3529 (Journal Website)
Yang, H.-C., Geng. L., Xue, Y.*, and Hu, G. (2022) Spatial Weibull Regression with Multivariate Log Gamma Process and Its Applications to China Earthquake Economic Loss. Statistics and Its Interface 15(1), 29-38 (Journal Website, arXiv)
Ma, Z., Xue, Y.*, and Hu, G. (2021) Geographically Weighted Regression Analysis for Spatial Economics Data: a Bayesian Recourse. International Regional Science Review 44(5), 582-604. (Journal Website, arXiv)
Hu, G., Xue, Y.*, and Huffer, F. (2021) A Comparison of Bayesian Accelerated Failure Time Models with Spatially Varying Coefficients. Sankhya B 83, 541-557 (Journal Website, arXiv)
Xue, Y., Yan, J., and Schifano, E.D. (2021) Simultaneous Monitoring for Regression Coefficients and Baseline Hazard Profile in Cox Modeling of Time-to-Event Data. Biostatistics 22(4), 756-771 (Journal Website, GitHub)
Ma, Z., Xue, Y.*, and Hu, G. (2020) Heterogeneous Regression Models for Clusters of Spatial Dependent Data. Spatial Economic Analysis 15(4), 459-475. (Journal Website, arXiv, Supplemental)
Hu, G., Yang, H.C., Xue, Y.. (2020) Bayesian Group Learning for Shot Selection of Professional Basketball Players. Stat 10(1), e324 (Journal Website, arXiv)
Xue, Y., Schifano, E.D. and Hu, G. (2020). Geographically Weighted Cox Regression for Prostate Cancer Survival Data in Louisiana. Geographical Analysis 52(4), 570-587. (Journal Website, arXiv, GitHub)
Xue, Y., Wang, H., Yan, J, and Schifano, E.D. (2020). An Online Updating Approach for Testing the Proportional Hazards Assumption with Streams of Survival Data. Biometrics, 76(1), 171-182 (ENAR 2019 Distinguished Student Paper Award, Journal Website, arXiv, GitHub)
Xue, Y., Harel, O., and Aseltine, R.H. (2019). Imputing Race and Ethnic Information in Administrative Health Data. Health Services Research 54(4), 957–963. (Journal Website)
Ma, Z., Xue, Y., and Hu, G. (2019). Nonparametric Analysis of Income Distributions Among Different Regions Based on Energy Distance with Applications to China Health and Nutrition Survey Data. Communications for Statistical Applications and Methods 26(1), 57–67. (Journal Website)
Xue, Y. and Schifano, E.D. (2017). Diagnostics for the Cox Model. Communications for Statistical Applications and Methods 24(6), 583–604. (Journal Website) - Refereed Conference Publications
Hu, G., Xue, Y., and Shen, W. (2026) Multidimensional Heterogeneity Learning for Field Goal Attempt Analysis of NBA Players. Machine Learning and Data Mining for Sports Analytics, Communications in Computer and Information Science, Springer, 139-157 (Springer Website)
Geng, L., Xue, Y. and Hu, G. (2019) Subsampled Information Criteria for Bayesian Model Selection in the Big Data Setting. Proceedings of IEEE International Conference on Big Data (IEEE Website)
+ equal contribution; * corresponding author
Friends
- Guanyu Hu, an academic superstar
Xiaoyan (Christy) Qiu, a political scientist
Haoyue Jiang, an interesting physicist