Tianying Wang

Contact:

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

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

I develop statistical methods for trustworthy learning and inference. My work focuses on detecting weak signals, characterizing heterogeneous associations, and combining data across studies in the presence of missing variables and measurement error. My current applications focus on statistical genetics and functional genomics, particularly brain aging and Alzheimer’s disease.

▶ Watch a 3-minute animated tour of my research program

Join Us:

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

News:

October 2026: Our manuscript on “Data Fusion for Errors-in-Variables” is available on arXiv.
September 2026: Our paper on “Simulation-free extrapolation for misspecified models induced by categorizing an error-prone continuous covariate” was accepted for publication in the Statistical Science.
September 2026: Our paper on “Augmented transfer regression learning for completely missing covariates” was accepted for publication in the Journal of the Royal Statistical Society Series B: Statistical Methodology.
August 2026: Tianying received an NIH/NIA R01 award as PI for the project “Uncovering Nonlinear Genetic Architectures in Alzheimer’s Disease Cellular Pathogenesis.” Featured in CSU News.
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” was accepted for publication in 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” was accepted for publication in Proceedings of the National Academy of Sciences (PNAS).
November 2025: Our paper on “TCVS: Tree-guided compositional variable selection analysis of microbiome data” was accepted for publication in Bioinformatics.
October 2025: Our paper on “Denoising Single-cell RNA-Seq Data with A Deep Learning-embedded Statistical Framework” was accepted for publication in 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” was accepted for publication in the 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” was accepted for publication in Biometrics.
March 2025: Our book chapter “Moving Beyond Mean: Harnessing Big Data for Health Insights by Quantile Regression” was 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” was accepted for publication in Annals of Applied Statistics.
November 2024: Our paper on “A Semiparametric Quantile Single-Index Model for Zero-Inflated Outcomes” was accepted for publication in Statistica Sinica.
November 2024: Our paper on “A high-dimensional calibration method for log-contrast models subject to measurement errors” was accepted for publication in 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” was accepted for publication in 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” was accepted for publication in 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” was accepted for publication in Statistica Sinica.
August 2023: Our paper on “Extreme Value Modeling with Errors-in-Variables in Detection and Attribution of Changes in Climate Extremes” was accepted for publication in Statistics and Computing.
July 2023: Our paper on “Optimal Fingerprinting with Estimating Equations” was accepted for publication in 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” was accepted for publication in Journal of Machine Learning Research.
November 2022: Our paper on A flexible zero-inflated Poisson-Gamma model with application to microbiome sequence count data was accepted for publication in 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 was accepted for publication in International Journal of Epidemiology.
September 2021: Our paper on Testing microbiome association using integrated quantile regression models was accepted for publication in Bioinformatics.
September 2021: Our paper on Integrated Quantile RAnk Test (iQRAT) for gene-level associations was accepted for publication in 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 was accepted for publication in 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.