John Witte

The Witte Lab is a computational and epidemiological research group investigating the genetic and environmental contributions to disease risk and progression. We develop and apply novel genetic epidemiological methods to decipher the mechanisms underlying complex diseases. Current areas of research include the following: 1) Evaluating disease risk with novel approaches to polygenic risk scores and hierarchical models; 2) Assessing the shared genetic basis across different diseases and traits (pleiotropy); and 3) Finding genetic risk factors, improving screening, and reducing disparities in cancer.

Research Areas: 

  • Bioinformatics
  • Statistical Genetics
  • Cancer Risk Prediction
  • Genetic Epidemiology
  • Epidemiology Methods

Dennis Wall

Research Areas: 

  • AI Medicine
  • Digital and Mobile Approaches to Child Health
  • Empathic AI
  • Crowdsourcing
  • Genomics
  • Microbiome Health

Mark Musen

Research Areas: 

  • Open Science
  • Data Management
  • Data and Metadata Standards
  • Ontology
  • Decision Support