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Picture of Hao Zhang

Hao Zhang

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

Collaboration(84)

Cynthia Thomson
Jarrod Mosier
Sanlyn Buxner
Rongguang Liang
Bonnie LaFleur

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Grants(16)

Developing Personalized Ovarian Cancer Risk Prediction through Circulating miRNA Biomarkers in 'Non-Genetic High-Risk' Women
Active·2024·$0 / $250K·
External
Co-Investigator (COI)
ovarian cancer risk, circulating biomarkers, mirna, personalized prediction, high-risk women
New Frontiers of Sound (NewFoS) Science and Technology Center
Active·2023·$0 / $6M·
External
Key Personnel (KP)
sound science, technology, research center, acoustic innovation, interdisciplinary collaboration
Ovarian Cancer Detection with Blood- and Imaging-Based Biomarkers
Active·2022·$341.8K / $2.4M·
External
Co-Investigator (COI)
ovarian cancer, biomarker detection, blood-based detection, imaging-based detection, cancer diagnosis
Developing and Evaluating a Machine-Learning Opioid Prediction & Risk-Stratification E-Platform (DEMONSTRATE)
Active·2021·$21.4K·
External
Principal Investigator (PI)
machine learning, opioid prediction, risk stratification, e-platform, evaluation
RTG: Applied Mathematics and Statistics for Data-Driven Discovery
Active·2020·$100K / $2M·
External
Co-Investigator (COI)
applied mathematics, statistics, data-driven discovery, research methods, machine learning

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Publications(88)

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

Linear algorithms for robust and scalable nonparametric multiclass probability estimation.

2023

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

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

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

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

Heterogeneous Domain Adaptation with Adversarial Neural Representation Learning: Experiments on E-Commerce and Cybersecurity

2021

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

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

Sparse Learning with Non-convex Penalty in Multi-classification

2021

sparse learning, non-convex penalty, multi-classification

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