Professor, UMMG Department of Public Health Sciences Research, Miller School of Medicine, Medical Campus, University of Miami
EpidemiologyPublic Health
Expertise
Cancer Staging
Trees/Forests
Ensemble Theory
Bayesian and Frequentist Variable Selection
Bioinformatics
High Dimensions
Missing Data
Nonparametric Bayes
Dr. Ishwaran's research involves machine learning methods and he has pioneered open source software for random forests, an ensemble tree-based technology.
Big Data, Boosting, Cancer Staging, Causal Inference, Forests (Trees, Ensembles), Missing data, Nonparametric Bayes, Survival (Machine Learning), Variable Selection (Frequentist and Bayes).
Links
Organizational Affiliations
UMMG Department of Public Health Sciences Research, Miller School of Medicine, Medical Campus, University of Miami
Miller School of Medicine, Medical Campus, University of Miami