Faculty

Institution

Unit

Venue

Duo Yu

Assistant Professor Biostatistics

Medical College of Wisconsin

Affiliations

Center for Advancing Population Science

Data Science Institute

Department of Biostatistics and Medical Informatics

Duo Yu is currently serving as a Center For Advancing Population Science Assistant Professor Biostatistics at Medical College of Wisconsin.

Honors

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Experiences

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Education

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Duo Yu

Medical College of Wisconsin

Assistant Professor Biostatistics

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machine learning public health epidemiology machine learning research infectious diseases biomedical informatics biomedical data science neurology influenza bayesian analysis disease outbreaks survival analysis communicable diseases respiratory medicine digital medicine cerebrovascular disease infectious disease modelling disease classification prediction modelling social determinants of health vaccines preventive healthcare vaccination hematology public health preparedness vascular biology stroke rehabilitation neurosurgery vascular surgery scientific computing cardiovascular interventions health technology preventive medicine thrombosis social distancing influenza vaccine clinical neurology interdisciplinary neurosurgery clinical neurosurgery hemostasis clinical case presentation disease transmission covid-19 pandemic cancer biology health data ehealth life prediction virus epidemiology data preparation data pre-processing prognostic biomarkers bayesian inference bayesian statistics remote patient monitoring wireless telemedicine telecare disease progression prognosis biomedical data analysis supervised learning reactive social distancing influenza vaccination coverage united states adverse outcome vasopressor treatment nontraumatic subarachnoid hemorrhage data-driven transmission model personalized odds ratio model interpretability variable importance evaluation identifies prognostic subtypes aneurysmal subarachnoid hemorrhage spatio-temporal patterns layer-varying parameters ehr data pre-processing prognostic biomarker inference informatics healthcare big data health care analytics data mining health informatics deep learning biostatistics knowledge discovery data science big data infectious disease transmission

Notable Scholarly Works

Notable Federal Grants

Collaborators

A Patient Similarity-Embedded Bayesian Approach to Prognostic Biomarker Inference With Application to Thoracic Cancer Immunity. Journal of the Royal Statistical Society Series C (Applied Statistics) (2025)

Duo YuMeilin HuangMichael J KaneBrian P Hobbs

biomarkersapplied statisticsstatistical inferencebiostatisticsstatisticsbayesian analysisprognostic biomarkersprognostic biomarker inference

Bayesian Counterfactual Machine Learning Individualizes Radiation Modality Selection to Mitigate Immunosuppression. JCO Clinical Cancer Informatics (2025)

bayesian inferenceuncertainty quantificationradiation oncologystatistical inferencebayesian analysisstatisticsinferencemachine learning researchradiationbayesian statisticsmachine learningmodel selectionmitigate immunosuppression

EDITORIAL: Telemedicine in Cardiology. Frontiers in Cardiovascular Medicine (2025)

cardiologycardiovascular interventionsemergency medicineremote patient monitoringwireless telemedicinetelecaretelehealthdigital healthhealth technology

ID: 4347362 From Prediction to Intervention: Machine Learning Identifies Modifiable Drivers of Af Progression for Clinical Action. Heart Rhythm O2 (2025)

predictive analyticsmedicinebiomedical informaticsbiomedical data sciencedisease progressionchronic diseasespreventive medicinemachine learning researchprognosisdigital medicinehealth sciences

ID: 4348720 Precision Risk Stratification in Atrial Fibrillation Using Dual Machine Learning Models for Stroke and Bleeding. Heart Rhythm O2 (2025)

biomedical data sciencebiomedical informaticsthrombosiscardiovascular researchepidemiologybiostatisticsstatisticsmachine learning researchstrokemachine learningcardiovascular disease

ID: 4348852 Beyond the Cha2Ds2Vasc Score: Machine Learning Enhances Stroke Prediction in Low-Risk Atrial Fibrillation Patients. Heart Rhythm O2 (2025)

predictive analyticsbiomedical data sciencebiomedical informaticsthe cha2ds2vasc scorebiomedical data analysisepidemiologyhealth informaticsprediction modellingbiostatisticsdisease classificationmachine learning researchdata sciencedigital medicinesupervised learningmachine learning

Regional Volume and Regional Fibrosis Add Significant Information to the Prediction of Atrial Fibrillation Recurrence Using Machine Learning Model. Journal of the American College of Cardiology (2025)

cardiologypredictive analyticselectrophysiological evaluationbiomedical informaticsbiomedical modelingbiomedical data sciencetime seriesdiagnosisprediction modellingbiostatisticsstatisticsmachine learning researchdata sciencecomputational medicinemachine learning

Machine Learning Identifies Prognostic Subtypes of the Tumor Microenvironment of Nsclc. Scientific Reports (2024)

Duo YuMichael J. KaneEugene J. KoayIgnacio I. WistubaBrian P. Hobbs

cancer biologyidentifies prognostic subtypesdata sciencetumor microenvironment

Trio Rvemvs: A Bayesian Framework for Rare Variant Association Analysis With Expectation-Maximization Variable Selection Using Family Trio Data. PLoS ONE (2024)

Duo YuMatthew KoslovskyMargaret C. SteinerKusha MohammadiChenguang ZhangMichael D. Swartz

expectation-maximization variable selectionfamily trio datageneticsgenetic variationbayesian frameworkbiostatisticsstatisticsbayesian analysistrio rvemvsstatistical geneticsgenotype-phenotype association

Use of Real-World Emr Data to Rapidly Evaluate Treatment Effects of Existing Drugs for Emerging Infectious Diseases: Remdesivir for Covid-19 Treatment as an Example. Statistics in Biosciences (2024)

Chenguang ZhangMasayuki NigoShivani PatelDuo YuEdward SeptimusHulin Wu

translational researchepidemiologyclinical microbiologyreal-world emr dataclinical epidemiologyinfectious diseasesinfectious diseases (medical specialty)public healthantimicrobial resistanceantiviral researchantiviral therapyantiviral drug developmentinfectious disease modellingreal-time datacovid-19virus researchinfection controlmedicinal researchreal-time monitoring

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Duo Yu

Assistant Professor Biostatistics

Medical College of Wisconsin

Affiliations

Center for Advancing Population Science

Data Science Institute

Department of Biostatistics and Medical Informatics

Duo Yu is currently serving as a Center For Advancing Population Science Assistant Professor Biostatistics at Medical College of Wisconsin.

Honors

Create free account to unlock more features

Experiences

Create free account to unlock more features

Education

Create free account to unlock more features

Duo Yu

Medical College of Wisconsin

Assistant Professor Biostatistics

You can click a keyword to filter the displayed items

Notable Scholarly Works

Notable Federal Grants

Collaborators

Duo YuMeilin HuangMichael J KaneBrian P Hobbs

biomarkersapplied statisticsstatistical inferencebiostatisticsstatisticsbayesian analysisprognostic biomarkersprognostic biomarker inference

Bayesian Counterfactual Machine Learning Individualizes Radiation Modality Selection to Mitigate Immunosuppression. JCO Clinical Cancer Informatics (2025)

EDITORIAL: Telemedicine in Cardiology. Frontiers in Cardiovascular Medicine (2025)

cardiologycardiovascular interventionsemergency medicineremote patient monitoringwireless telemedicinetelecaretelehealthdigital healthhealth technology

ID: 4347362 From Prediction to Intervention: Machine Learning Identifies Modifiable Drivers of Af Progression for Clinical Action. Heart Rhythm O2 (2025)

predictive analyticsmedicinebiomedical informaticsbiomedical data sciencedisease progressionchronic diseasespreventive medicinemachine learning researchprognosisdigital medicinehealth sciences

ID: 4348720 Precision Risk Stratification in Atrial Fibrillation Using Dual Machine Learning Models for Stroke and Bleeding. Heart Rhythm O2 (2025)

biomedical data sciencebiomedical informaticsthrombosiscardiovascular researchepidemiologybiostatisticsstatisticsmachine learning researchstrokemachine learningcardiovascular disease

ID: 4348852 Beyond the Cha2Ds2Vasc Score: Machine Learning Enhances Stroke Prediction in Low-Risk Atrial Fibrillation Patients. Heart Rhythm O2 (2025)

Machine Learning Identifies Prognostic Subtypes of the Tumor Microenvironment of Nsclc. Scientific Reports (2024)

Duo YuMichael J. KaneEugene J. KoayIgnacio I. WistubaBrian P. Hobbs

cancer biologyidentifies prognostic subtypesdata sciencetumor microenvironment

Trio Rvemvs: A Bayesian Framework for Rare Variant Association Analysis With Expectation-Maximization Variable Selection Using Family Trio Data. PLoS ONE (2024)

Duo YuMatthew KoslovskyMargaret C. SteinerKusha MohammadiChenguang ZhangMichael D. Swartz

Chenguang ZhangMasayuki NigoShivani PatelDuo YuEdward SeptimusHulin Wu

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University of Pennsylvania

predictive analytics

computational biology

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health informatics

systematic review

Joyce Ho

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Emory University

personal health record

physiological measurement

John H. Holmes

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informatics

ai healthcare

Alex Anh-Tuan Bui

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University of California, Los Angeles

cancer informatics

biomedical informatics

Emily Pfaff

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public health

health sciences

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biomedical data science

biomedical informatics

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algorithmic fairness

computational intelligence

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clinical decision support system

bioinformatics