Tianying Wang

Contact:

Department of Statistics
Colorado State University
102 Statistics Building
Fort Collins
Colorado 80523-1877

Email: Tianying[dot]Wang[at]colostate.edu

My research provides statistical foundations for reliable and trustworthy AI-enabled biomedical discovery. I develop statistical methods for reliable inference with imperfect, heterogeneous, and multi-source data. My research spans statistical methodology and statistical genetics, with a particular focus on genomics, aging, and Alzheimer’s disease.

▶ Watch my interactive research story — a 2-minute animated tour of my research program, with demos you can explore.

Join Us:

I am looking for multiple postdoctoral fellows to join our research group. If you are interested, please feel free to reach out to me by email.

News:

August 2026: Tianying received an NIH/NIA R01 award as PI for the project “Uncovering Nonlinear Genetic Architectures in Alzheimer’s Disease Cellular Pathogenesis.”
May 2026: Our manuscript on “Augmented transfer regression learning for completely missing covariates” is available on arXiv.
May 2026: Our manuscript on “Tree-aggregated regression for compositional data with measurement errors” is available on arXiv.
May 2026: Congratulations to Danielle Terry on winning the Undergraduate Early Academic Achievement Award!
May 2026: Congratulations to Eva Krastev on winning the James R. zumBrunnen Statistical Collaboration Award!
April 2026: A new Teaching Demos page is available, featuring interactive browser-based statistics demos for teaching and outreach.
March 2026: Our paper on “Multi-Group Quadratic Discriminant Analysis via Projection” is accepted by the Journal of Computational and Graphical Statistics.
January 2026: Our paper on “Doubly robust transfer learning under sub-group shift for cohort-level missing indicator covariates” is accepted by Statistica Sinica.
December 2025: Tianying received First Place in the ARISE (Aging Research – Innovations in Statistical Exploration) 2025 Webinar Series hosted by the ASA Statistics and Data Science in Aging (SDSA) group.
November 2025: Our paper on “Computationally efficient whole-genome quantile regression at biobank scale” is accepted by Proceedings of the National Academy of Sciences (PNAS).
November 2025: Our paper on “TCVS: Tree-guided compositional variable selection analysis of microbiome data” is accepted by Bioinformatics.
October 2025: Our paper on “Denoising Single-cell RNA-Seq Data with A Deep Learning-embedded Statistical Framework” is accepted by BMC Bioinformatics.
September 2025: Our manuscript on “A simulation-free extrapolation method for misspecified models with errors-in-variables in epidemiological studies” is available on arXiv.
July 2025: Our paper on “A powerful transformation of quantitative responses for biobank-scale association studies” is accepted by Journal of the American Statistical Association.
July 2025: Tianying’s work on “Joint Quantile Regression with Latent Clustering for Age-Dependent Genetic Effects on Multiple Traits” was recognized and selected as a finalist by the ASA Statistics and Data Science in Aging (SDSA) group, and will be featured in the ARISE (Aging Research – Innovations in Statistical Exploration) Webinar Series.
June 2025: Our manuscript on “Denoising Single-cell RNA-Seq Data with A Deep Learning-embedded Statistical Framework” is available on bioRxiv.
May 2025: Our manuscript on “Regenie.QRS: computationally efficient whole-genome quantile regression at biobank scale” is available on bioRxiv.
May 2025: Congratulations to Mussa Hassen on winning the Undergraduate Excellence in Research Award!
April 2025: Congratulations to Huali Zhao on winning the 2025 IMS Hannan Graduate Student Travel Award for her work on “Augmented transfer regression learning for handling completely missing covariates”!
March 2025: Our paper on “A Semiparametric Quantile Regression Rank Score Test for Zero-inflated Data” is accepted by Biometrics.
March 2025: Our book chapter “Moving Beyond Mean: Harnessing Big Data for Health Insights by Quantile Regression” is accepted for publication in Big Data Analysis, Biostatistics and Bioinformatics (Eds. Chen, D. and Zhao, Y.), Springer.
December 2024: Our paper on “Improved Optimal Fingerprinting Based on Estimating Equations Reaffirms Anthropogenic Effect on Global Warming” is accepted by Journal of Climate.
December 2024: Our paper on “A unified quantile framework for nonlinear heterogeneous transcriptome-wide associations” is accepted by Annals of Applied Statistics.
November 2024: Our paper on “A Semiparametric Quantile Single-Index Model for Zero-Inflated Outcomes” is accepted by Statistica Sinica.
November 2024: Our paper on “A high-dimensional calibration method for log-contrast models subject to measurement errors” is accepted by Biometrics.
October 2024: Congratulations to Zirui Wang on winning the Top Ten Paper at the 10th National Graduate Student Statistics Forum, Mathematical Statistics Section, for her work on “A Semiparametric Quantile Single-Index Model for Zero-Inflated Outcomes”!
September 2024: Our paper on “Semiparametric Analysis in Case-Control Studies for Gene-Environment Independent Models: Bibliographical Connections and Extensions” is accepted by Journal of Data Science.
September 2024: Our manuscript on “A high-dimensional calibration method for log-contrast models subject to measurement errors” is available on arXiv.
June 2024: Our paper on “Genome-wide discovery for biomarkers using quantile regression at biobank scale” is accepted by Nature Communications.
May 2024: Tianying received a seed grant from the Center for Interdisciplinary Mathematics and Statistics at Colorado State University.
January 2024: Our paper on “ZIKQ: An innovative centile chart method for utilizing natural history data in rare disease clinical development” is accepted by Statistica Sinica.
August 2023: Our paper on “Extreme Value Modeling with Errors-in-Variables in Detection and Attribution of Changes in Climate Extremes” is accepted by Statistics and Computing.
July 2023: Our paper on “Optimal Fingerprinting with Estimating Equations” is accepted by Journal of Climate.
June 2023: Our manuscript on Quantile Regression for biomarkers in the UK Biobank is available on bioRxiv.
March 2023: Our paper on “The optimal pre-post allocation for randomized clinical trials” is accepted by BMC Medical Research Methodology.
February 2023: Our paper on “Gaussian Processes with Errors in Variables: theory and computation” is accepted by Journal of Machine Learning Research.
November 2022: Our paper on A flexible zero-inflated Poisson-Gamma model with application to microbiome sequence count data is accepted by Journal of the American Statistical Association.
July 2022: Our manuscript on A flexible zero-inflated Poisson-Gamma model with application to microbiome sequence count data is now available on arXiv.
June 2022: Our manuscript on A unified quantile framework reveals nonlinear heterogeneous transcriptome-wide associations is now available on arXiv.
January 2022: Our paper on Body mass index rebound and pubertal timing in girls with and without a family history of breast cancer: the LEGACY girls study is accepted by International Journal of Epidemiology.
September 2021: Our paper on Testing microbiome association using integrated quantile regression models is accepted by Bioinformatics.
September 2021: Our paper on Integrated Quantile RAnk Test (iQRAT) for gene-level associations is accepted by The Annals of Applied Statistics.
August 2021: Tianying received a grant from the National Natural Science Foundation of China (NSFC) (No. 12101351) on the topic: “Integrated quantile regression model for high-dimensional heterogeneous data”.
October 2020: Our paper Improved semiparametric analysis of polygenic gene-environment interactions in case-control studies is accepted by Statistics in Biosciences.
May 2020: Tianying won 2020 IMS New Researcher Travel Award.
March 2020: Tianying won competitive travel award of the ENAR 2020 Fostering Diversity in Biostatistics Workshop (rescheduled to 2021 due to COVID-19).
November 2019: Our manuscript on Integrated Quantile RAnk Test (iQRAT) for heterogeneous joint effect of rare and common variants in sequencing studies is now available on arXiv.
October 2019: Our manuscript on Gaussian Processes with Errors in Variables: theory and computation is now available on arXiv.
September 2019: Our manuscript on Improved semiparametric analysis of polygenic gene-environment interactions in case-control studies is now available on arXiv.
August 2019: Tianying won competitive travel award of the 2019 NISS Writing Workshop for Junior Researchers at JSM.
July 2019: Tianying won competitive travel award of the 2019 IMS New Researchers Conference.