Faculty

Institution

Unit

Venue

May Dongmei Wang

Professor

Georgia Institute of Technology

Affiliations

College of Engineering

Wallace H. Coulter Department of Biomedical Engineering

May Dongmei Wang is currently serving as a College Of Engineering Professor at Georgia Institute of Technology.

Honors

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Experiences

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Education

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May Dongmei Wang

Georgia Institute of Technology

Professor

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bioinformatics health sciences machine learning data science deep learning health informatics genomics biomedical informatics biomedical engineering medical imaging oncology image analysis pathology biomedical imaging histopathology transcriptomics technology microarray data analysis medical image analysis genome biology biomedical data analysis cancer biology cancer imaging biomedical data science molecular diagnostics health information science medical image computing image classification health technology respiratory medicine biomedical data integration medicinal research cancer genomics nanobiotechnology biomedical analysis sequence analysis ai healthcare next-generation sequencing image segmentation knowledge discovery surgical oncology computational medicine cancer care classification method ehealth thanatology cancer treatment computational genomics microtubule dynamics scientific computing tumor targeting precision medicine medical decision making neuroinformatics multi-omics data biological interpretation nanometrology high throughput sequencing medical decision analysis medical technology disease management explainable ai computer-aided diagnosis biomedical modeling rna-seq data histopathological whole-slide images histopathological images renal cell carcinoma convolutional autoencoder proteomic data microarray quality control ultrahigh sensitivity quantitative analysis intraoperative near-infrared imaging systematic review cancer grade traumatic brain injury biomedical big data multidisciplinary ai healthcare big data computational intelligence computer science intelligent systems artificial intelligence applied artificial intelligence big data

Notable Scholarly Works

Notable Federal Grants

Collaborators

Predicting Pediatric Patient Rehabilitation Outcomes After Spinal Deformity Surgery With Artificial Intelligence. Communications Medicine (2025)

Wenqi ShiFelipe O. GiusteYuanda ZhuBen J. TamoMicky C. NnamdiAndrew HornbackAshley M. CarpenterColeman HiltonHenry J. IwinskiJ. Michael WattenbargerMay D. Wang

spinal deformity surgerymedicinepediatricsspine deformitiesartificial intelligencerehabilitationrehabilitation medicine

Advancing Sleep Disorder Diagnostics: A Transformer-Based Eeg Model for Sleep Stage Classification and Osa Prediction. IEEE Journal of Biomedical and Health Informatics (2024)

Cheng WanMicky C. NnamdiWenqi ShiBenjamin SmithChad PurnellMay D. Wang

biomedical informaticssleep stage classificationhealth informaticssleep disorder diagnosticssleeposa predictiontransformer-based eeg modelbiostatisticssleep disorders

Are Gene-By-Environment Interactions Leveraged in Multi-Modality Neural Networks for Breast Cancer Prediction?. arXiv (Cornell University) (2024)

Isgut, MonicaHornback, AndrewLuo, YunanKhimani, AsmaJain, NehaWang, May D.

breast cancer predictionbreast cancergene-by-environment interactionsmulti-modality neural networks

BMRETRIEVER: Tuning Large Language Models as Better Biomedical Text Retrievers. arXiv (Cornell University) (2024)

Xu, RanShi, WenqiYu, YueZhuang, YuchenZhu, YanqiaoWang, May D.Ho, Joyce C.Zhang, ChaoYang, Carl

computational linguisticslinguistics

Clinical Decision Making Under Uncertainty: A Bootstrapped Counterfactual Inference Approach. BMC Medical Informatics and Decision Making (2024)

Hang WuWenqi ShiAnirudh ChoudharyMay D Wang

biomedical informaticsclinical decision-makingmedicinehealth informaticsuncertainty modelingclinical decisionuncertainty analysismedical decision makingmedical decision analysis

Developing a Novel Causal Inference Algorithm for Personalized Biomedical Causal Graph Learning Using Meta Machine Learning. BMC Medical Informatics and Decision Making (2024)

Hang WuWenqi ShiMay D. Wang

biomedical informaticsmedicinehealth informaticsmeta machine learninginformaticscausal inferencemachine learningbiomedical engineeringmedical decision makinghealth sciencesdeep learning

EHRAGENT: Code Empowers Large Language Models for Complex Tabular Reasoning on Electronic Health Records. arXiv (Cornell University) (2024)

Shi, WenqiXu, RanZhuang, YuchenYu, YueZhang, JieyuWu, HangZhu, YuandaHo, JoyceYang, CarlWang, May D.

biomedical informaticscomputational intelligenceautomated reasoninglinguisticshealth informaticsbioinformaticsmachine learning researchbiomedical text miningintelligent data processingcomputer sciencemachine learningartificial intelligenceinformation retrievalhealth sciences

EMXDESIGN: A Genetic Algorithm for High Affinity Drug Design. Proceedings of the Genetic and Evolutionary Computation Conference Companion (2024)

Neha JainAndrew HornbackMay Dongmei Wang

evolutionary computationgeneticsgenetic algorithmscomputational biology

Fairness Artificial Intelligence in Clinical Decision Support: Mitigating Effect of Health Disparity. IEEE Journal of Biomedical and Health Informatics (2024)

Hang WuYuanda ZhuWenqi ShiLi TongMay D Wang

biomedical informaticsclinical decision support systemshealth informaticsclinical decision supportpublic healthhealth disparitieshealth care disparitiesmitigating effectfairness artificial intelligencedigital healthartificial intelligencefairnessai healthcare

Graph Theoretic Visualization of Patient and Health Worker Messaging in the Ehr. Frontiers in Artificial Intelligence (2024)

Muhammad Zia ul HaqAndrew HornbackArash HarzandDavid Andrew GutmanBradley GallaherEvan D. SchoenbergYuanda ZhuMay D. WangBlake Anderson

graph theoretic visualizationelectronic health recordsartificial intelligencecommunicationhealth worker messaging

1
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5
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10 / page

May Dongmei Wang

Professor

Georgia Institute of Technology

Affiliations

College of Engineering

Wallace H. Coulter Department of Biomedical Engineering

May Dongmei Wang is currently serving as a College Of Engineering Professor at Georgia Institute of Technology.

Honors

Create free account to unlock more features

Experiences

Create free account to unlock more features

Education

Create free account to unlock more features

May Dongmei Wang

Georgia Institute of Technology

Professor

You can click a keyword to filter the displayed items

Notable Scholarly Works

Notable Federal Grants

Collaborators

Predicting Pediatric Patient Rehabilitation Outcomes After Spinal Deformity Surgery With Artificial Intelligence. Communications Medicine (2025)

Wenqi ShiFelipe O. GiusteYuanda ZhuBen J. TamoMicky C. NnamdiAndrew HornbackAshley M. CarpenterColeman HiltonHenry J. IwinskiJ. Michael WattenbargerMay D. Wang

spinal deformity surgerymedicinepediatricsspine deformitiesartificial intelligencerehabilitationrehabilitation medicine

Advancing Sleep Disorder Diagnostics: A Transformer-Based Eeg Model for Sleep Stage Classification and Osa Prediction. IEEE Journal of Biomedical and Health Informatics (2024)

Cheng WanMicky C. NnamdiWenqi ShiBenjamin SmithChad PurnellMay D. Wang

biomedical informaticssleep stage classificationhealth informaticssleep disorder diagnosticssleeposa predictiontransformer-based eeg modelbiostatisticssleep disorders

Are Gene-By-Environment Interactions Leveraged in Multi-Modality Neural Networks for Breast Cancer Prediction?. arXiv (Cornell University) (2024)

Isgut, MonicaHornback, AndrewLuo, YunanKhimani, AsmaJain, NehaWang, May D.

breast cancer predictionbreast cancergene-by-environment interactionsmulti-modality neural networks

BMRETRIEVER: Tuning Large Language Models as Better Biomedical Text Retrievers. arXiv (Cornell University) (2024)

Xu, RanShi, WenqiYu, YueZhuang, YuchenZhu, YanqiaoWang, May D.Ho, Joyce C.Zhang, ChaoYang, Carl

computational linguisticslinguistics

Clinical Decision Making Under Uncertainty: A Bootstrapped Counterfactual Inference Approach. BMC Medical Informatics and Decision Making (2024)

Hang WuWenqi ShiAnirudh ChoudharyMay D Wang

biomedical informaticsclinical decision-makingmedicinehealth informaticsuncertainty modelingclinical decisionuncertainty analysismedical decision makingmedical decision analysis

Developing a Novel Causal Inference Algorithm for Personalized Biomedical Causal Graph Learning Using Meta Machine Learning. BMC Medical Informatics and Decision Making (2024)

Hang WuWenqi ShiMay D. Wang

biomedical informaticsmedicinehealth informaticsmeta machine learninginformaticscausal inferencemachine learningbiomedical engineeringmedical decision makinghealth sciencesdeep learning

EHRAGENT: Code Empowers Large Language Models for Complex Tabular Reasoning on Electronic Health Records. arXiv (Cornell University) (2024)

Shi, WenqiXu, RanZhuang, YuchenYu, YueZhang, JieyuWu, HangZhu, YuandaHo, JoyceYang, CarlWang, May D.

EMXDESIGN: A Genetic Algorithm for High Affinity Drug Design. Proceedings of the Genetic and Evolutionary Computation Conference Companion (2024)

Neha JainAndrew HornbackMay Dongmei Wang

evolutionary computationgeneticsgenetic algorithmscomputational biology

Fairness Artificial Intelligence in Clinical Decision Support: Mitigating Effect of Health Disparity. IEEE Journal of Biomedical and Health Informatics (2024)

Hang WuYuanda ZhuWenqi ShiLi TongMay D Wang

Graph Theoretic Visualization of Patient and Health Worker Messaging in the Ehr. Frontiers in Artificial Intelligence (2024)

Muhammad Zia ul HaqAndrew HornbackArash HarzandDavid Andrew GutmanBradley GallaherEvan D. SchoenbergYuanda ZhuMay D. WangBlake Anderson

graph theoretic visualizationelectronic health recordsartificial intelligencecommunicationhealth worker messaging

1
2
3
4
5
36
10 / page

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Similar Faculty Members

Yuan Luo

Institution

Northwestern University

machine learning

health sciences

Fusheng Wang

Institution

Stony Brook University

big data

biomedical informatics

Jun Kong

Institution

North Dakota State University

design

interaction paradigm

Daniel Rubin

Institution

Stanford University

opera

biomedical data science

Ayman El-Baz

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biomedical imaging

Dokyoon Kim

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University of Pennsylvania

ai healthcare

informatics

Anant Madabhushi

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University of South Florida

pattern recognition

medical imaging

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University of Maryland, College Park

computer science

machine learning

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