(734) 764-6585

Applications:
Healthcare Research, Informatics
Methodologies:
Bayesian Methods, Causal Inference, Data Integration, Data Mining, Machine Learning, Mathematical and Statistical Modeling, Optimization, Statistics

Nicholas Henderson

Assistant Professor

Biostatistics

My research primarily focuses on the following main themes: 1) development of methods for risk prediction and analyzing treatment effect heterogeneity, 2) Bayesian nonparametrics and Bayesian machine learning methods with a particular emphasis on the use of these methods in the context of survival analysis, 3) statistical methods for analyzing heterogeneity in risk-benefit profiles and for supporting individualized treatment decisions, and 4) development of empirical Bayes and shrinkage methods for high-dimensional statistical applications. I am also broadly interested in collaborative work in biomedical research with a focus on the application of statistics in cancer research.