Hao Xue

Hao Xue

PhD in Computational Biology, Cornell University

Machine Learning · Biomedical Informatics · Multi-omics

About

Hao Xue's research focus on applying machine learning and AI systems to biomedical informatics, including developing image-omics multimodal foundation models, natural language processing algorithms for extracting temporal information from Electronic Health Records (EHRs), statistical methods for multi-omics time-series pattern recognition, and Bayesian hierarchical models for multi-omics integration.

Prior to Cornell, he received his Master's degree in Biostatistics from Harvard University and his Bachelor's degree in Applied Mathematics (First Class with Honors) from Xi'an Jiaotong-Liverpool University.

Education

Cornell University

2021 – 2026

PhD in Computational Biology

Harvard University

2019 – 2021

SM in Biostatistics

Xi'an Jiaotong-Liverpool University (XJTLU)

2015 – 2019

BSc in Applied Mathematics, First Class with Honors

Publications

(* = equal contribution)

  1. SpaRuiPath: A Multimodal Foundation Model for Aligning Histology and Spatial Transcriptomics in Breast Cancer
    Hao Xue, M. Ruan, S. Yan, et al.
    Manuscript in preparation
  2. DOME: Directional Medical Embedding Vectors from Electronic Health Records
    J. Wen*, Hao Xue*, E. Rush, et al.
    Journal of Biomedical Informatics, 2025 · DOI
  3. Integrative Analysis of Differentially Expressed Genes in Time-Course Multi-Omics Data with MINT-DE
    Hao Xue, S. Y. N. Delbare, M. T. Wells, et al.
    Major revision, BMC Bioinformatics· DOI
  4. Bayesian Shrinkage Models for Integration and Analysis of Multiplatform High-dimensional Genomics Data
    Hao Xue, S. Chakraborty, T. Dey
    Statistical Analysis and Data Mining · DOI
  5. BayesMultiomics: An R Package for Bayesian Shrinkage Models for Integration and Analysis of Multi-platform High-dimensional Genomics Data
    M. Cho, T. Dey, Hao Xue, et al.
    Statistical Analysis and Data Mining, 2025 · DOI
  6. The Network Structural Entropy for Single-cell RNA Sequencing Data During Aging
    Z. Liu, H. Lin, X. Li, Hao Xue, et al.
    Briefings in Bioinformatics, 2024 · DOI
  7. Prediction of RNA Methylation Status From Gene Expression Data Using Classification and Regression Methods
    Hao Xue, Z. Wei, K. Chen, et al.
    Evolutionary Bioinformatics, 2020 · DOI

Awards & Honors

Teaching

Teaching Assistant: ECON 3110 (Probability Models and Inference), STSCI 6780 (Bayesian Statistics and Data Analysis), STSCI 4060 (Python Programming and Its Application in Statistics), MATH 1920 (Multivariable Calculus for Engineers) · Cornell University