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The University of Arizona
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Tucson, AZ USA 85721
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Picture of Hao Zhang

Hao Zhang

Professor, Statistics-GIDP | Member of the Graduate Faculty | Professor, Mathematics | Chair, Statistics-GIDP | Professor, Applied Mathematics - GIDP

Research Area

machine learning, statistical modeling, data analysis, precision medicine, high-dimensional data, optimization, statistical analysis, biostatistics, statistical methods, data mining, dimension reduction, sparse data, gene expression, research methods, personalized medicine, bioinformatics, transcriptome analysis, predictive modeling, ovarian cancer, antenna design

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Recent

Optimal Pair Matching Combined with Machine Learning Predicts that Omega-3 Fatty Acid Supplementation Markedly Reduces the Risk of Myocardial Infarction in African Americans

2024

nutrition, cardiovascular, machine learning, supplementation, risk prediction

Heterogeneous domain adaptation with adversarial neural representation learning: experiments on e-commerce and cybersecurity.

2023

domain adaptation, adversarial learning, e-commerce, cybersecurity, neural representation learning

Linear algorithms for robust and scalable nonparametric multiclass probability estimation.

2023

machine learning, nonparametric statistics, algorithm design, scalable computing, statistical modelling

Machine learning methods-based m odeling and optimization of 3-D-printed dielectrics around monopole antenna.

2022

machine learning, antenna design, 3d printing, dielectric materials, optimization

Sparse Learning with Non-convex Penalty in Multi-classification

2021

sparse learning, non-convex penalty, multi-classification

Karyometry Identifies a Distinguishing Fallopian Tube Epithelium Phenotype in Subjects at High Risk for Ovarian Cancer

2021

ovarian cancer, fallopian tube, karyometry, epithelium, high risk

Machine Learning Methods-based Modeling and Optimization of 3-D-Printed Dielectrics around Monopole Antenna.

2021

machine learning, 3d printing, antenna design, optimization, dielectric materials

SEMFA: A General Framework for Inferring Statistical Significance of Mahalanobis Similarity between Multi-Omics Profiled Samples Using Extended Multiple Factor Analysis

2021

multi-omics, mahalanobis similarity, statistical significance, extended multiple factor analysis, framework

Parametric Test of Mahalanobis Similarity Between SNPs on Multi-omics datasets by Using Multiple Factor Analysis-based data fusion

2021

genomic analysis, data fusion, biostatistics, bioinformatics, multi-omics integration

Nonparametric trace regression in high dimensions via sign series representation

2021

nonparametric regression, high dimensions, trace regression, sign series representation, statistical analysis

Sanlyn Buxner
Nirav Merchant
Cynthia Thomson
Denise Roe
Bonnie LaFleur

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Undergrad Research Opp Volunteer
nonparametric regression and smoothing, variables selection, statistical machine learning, high dimensional data analysis Prerequisite Courses: MATH 464, MATH 466 Majors: Statistics, Probability, Biostatistics

Wake-Up Call: Cellular Sleep Isn’t As Harmless As Once Thought
2019

Theory of Statistics
Statistical Machine Learning
Capstone for Statistics and Data Science

70+ Collaborators

$1.5M / $19.4M Funding

80+ Publications