Yishu Xue

Yishu Xue

Data Scientist / Runner / Gym Enthusiast / Animal Lover

Google Inc.

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 endurance running and my half marathon PB is 02:06:47 at Oakland HM 2025.

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 finishing a paper.

Skills

R

tidyverse + MCMC + survival analysis

Python

Pandas + NumPy + Plotly + Dash

Machine/Deep Learning

Tensorflow + PyTorch + Scikit-learn + XGBoost

Git

version control + website building

Linux/Unix

bash + distributed computing

SQL

MySQL + database design

Experience

 
 
 
 
 
Senior Quantitative Analyst
Google
Nov 2023 – Present San Bruno, CA
 
 
 
 
 
Quantitative Analyst
Google
Jul 2021 – Oct 2023 San Bruno, CA
 
 
 
 
 
Data Scientist, Data Science Leadership Development Program
Travelers Insurance
Jul 2019 – Jul 2021 Hartford, CT

Recent Posts

The Marathon Owes Me Nothing
For lack of a better title I am using this popular quote from the endurance running community. It says that the marathon is fair and unforgiving. A PB or even a finish is not always guaranteed, even after putting your 100% effort into training and race prep.
Last updated on May 6, 2025 4 min read
¿Que paso en 2024?
¡2025 esta aquí! Estoy emocionada y feliz cuando reviso que paso en 2024 porque hay muchos cambios y muchas experiencias nuevas. En este blog quiero revisar mi 2024. Como se puede ver, estoy escribiendo en español.
Last updated on Jan 25, 2025 2 min read
A 2023 Year End Review
It is the familiar holiday season again and I feel it’s time to look back at 2023, reflect and summarize what had happened as a result of this year’s hardwork.
Last updated on Dec 20, 2023 2 min read
Books of the Year
This year, I’ve been trying to read something other than statistics. My new-year gift for myself was a Kindle PaperWhite, and I didn’t plan to let it collect dust. So far, I’ve read:
Last updated on Dec 20, 2023 1 min read
A Recap for 2022
Time passes unbelievably fast and here comes the end of 2022! It has been a year with a lot of personal growth and I want to pay it a tribute with this brief post.
Last updated on Dec 31, 2022 3 min read
See all posts

Recent Publications

  • Refereed Journal Publications
    Hu, G., Geng, J., Xue, Y., and Sang, H. (2022+) Bayesian Spatial Homogeneity Pursuit of Functional Data: an Application to the U.S. Income Distribution. Bayesian Analysis, Forthcoming (arXiv)
    Hu, G., Yang, H.-C., Xue, Y.*, and Dey, D.K. (2022+) Zero Inflated Poisson Model with Clustered Regression Coefficients: an Application to Heterogeneity Learning of Field Goal Attempts of Professional Basketball. Canadian Journal of Statstics, Forthcoming (Journal Website, arXiv)
    Hu, G., Xue, Y., and Ma, Z. (2021+) Bayesian Clustered Coefficients Regression with Auxiliary Covariates Assistant Random Effects. Statistical Modelling, Forthcoming ( Journal Website, arXiv, GitHub)
    Yang, H.-C.+, Xue, Y.+, Liu, Q., Pan, Y. and Hu, G. (2021+) Time Fusion Coefficient SIR Model with Application to COVID-19 Epidemic in the United States. Journal of Applied Statistics, special issue "Statistical Perspectives on Analytics for COVID-19 Data", Forthcoming (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
    Geng, L., Xue, Y. and Hu, G. Subsampled Information Criteria for Bayesian Model Selection in the Big Data Setting. Proceedings of IEEE International Conference on Big Data, 2019 (IEEE Website)

    • + equal contribution; * corresponding author

Friends