Warren Kibbe, PhD
Division Chief
Professor
warren.kibbe@duke.edu
Research Interests
Biomedical Informatics: Electronic Health Records Data, Learning Health, Patient Reported Outcomes, Precision Medicine, Translational Research
Translational Biomedical Informatics Research Interests
David Carlson, PhD
Assistant Professor
Research Interests
Biostatistics: Bayesian Models
Biomedical Informatics: Convolutional Neural Networks, Machine Learning
Areas of Collaboration
Biomedical Engineering, Environmental Engineering
Jessilyn Dunn, PhD
Assistant Professor
Research Interests
Bioinformatics: Convolutional Neural Network,Data Integration,Machine Learning,Natural Language Processing,Normalization,Omics
Biomedical Informatics: Electronic Health Records Data, Integrative Data Analysis, Mobile Technology, Multi-Modal Biomedical Data, Precision Medicine, Principal and Independent Component Analysis
Biostatistics: Longitudinal or dependent data, Mixed effect models, Resampling methods, Semiparametric or nonparametric
Clinical Research: Predictive Medicine
Statistical Genetics and Genomics: Predictive Modeling, Statistical Genetics, Transcriptomics
Areas of Collaboration
Biomedical Engineering, Cardiology, Endocrinology, Cardiology, Endocrinology, Global Health, Infectious Diseases, Population Health
Benjamin Goldstein, PhD
Associate Professor
Research Interests
Bioinformatics: Data Integration, Machine Learning
Biomedical Informatics: Accessible Date Structures, Electronic Health Records Data,Implementation Science,Learning Health,Precision Medicine, Visualization
Biostatistics: Prognostic and predictive models, Risk assessment
Clinical Research:Comparative Effectiveness, Outcomes and Health Services Research, Predictive Medicine
Areas of Collaboration
Health Systems
Ricardo Henao, PhD
Assistant Professor
Research Interests
Bioinformatics: Convolutional Neural Network,Machine Learning,Natural Language Processing,Omics
Biomedical Informatics: Electronic Health Records Data, Image Processing,Integrative Data Analysis, Multi-Modal Biomedical Data, Principal and Independent Component Analysis
Biostatistics: Medical imaging, Prognostic and predictive models, Semiparametric or nonparametric, Survival Analysis
Clinical Research: Predictive Medicine
Statistical Genetics and Genomics: Predictive Modeling,Transcriptomics
Areas of Collaboration
Cardiology, Dermatology, Gastroenterology, Infectious Diseases, Opthamology, Pathology, Pediatrics, Radiology
Erich Huang, PhD
Assistant Professor
https://scholars.duke.edu/person/erich.huang
Research Interests
Bioinformatics: Machine Learning
Biomedical Informatics: Electronic Health Records Data, Image Processing, Implementation Science, Integrative Data Analysis, Learning Health, Mobile Technology, Patient Reported Outcome, Precision Medicine, Translational Research
Biostatistics: Prognostic and predictive models, API Development, Cloud Computing, Distributed Computing
Clinical Research: Predictive Medicine
Areas of Collaboration
Anesthesiology,Infectious Diseases,Internal Medicine,Oncology,Orthopedics,Population Health, Surgery
Terry Hyslop, PhD
Professor
Research Interests
Bioinformatics: Machine Learning
Biomedical Informatics: Electronic Health Records Data, Integrative Data Analysis, SES, Environmental data, Built Environment
Biostatistics: Bayesian models, Clustering
Clinical Research: Comparative Effectiveness, Outcomes and Health Services Research
Statistical Genetics and Genomics: Genetic Epidemiology
Areas of Collaboration
Oncology, Population Health, Surgery
Jessie Tenenbaum, PhD
Assistant Professor
Research Interests
Bioinformatics:Data Integration, Machine Learning, Standards Development Ontologies and Annotations, Text Mining
Biomedical Informatics:Electronic Health Records Data, Integrative Data Analysis, Learning health,Precision Medicine, Translational Research
Clinical Research:Predictive Medicine