BENJAMIN HAALAND portrait
  • Associate Professor, Population Health Sciences
  • Co-Director, Cancer Biostatistics Shared Resource, Huntsman Cancer Institute
  • Adjunct Associate Professor, Population Health Sciences

Research Statement

Currently, Dr. Haaland is involved in a broad spectrum of collaborative and methodological projects including a) comparative effectiveness of cancer therapies based on real-word electronic health record data, b) describing the factors contributing to low-value PSA screening, c) development of accurate and parsimonious machine learning predictive models for both pediatric diarrheal etiology based on clinical presentation and response to heart failure therapy based on clinical covariates and mRNA expression levels, and d) developing accurate and computationally feasible non-parametric regression techniques, with appropriate uncertainty quantification, in the context of emulation of large-scale and high-dimensional computer simulations. He has been the main quantitative investigator on more than 20 funded research grants which he helped to design and write. Dr. Haaland is currently advising 2 PhD students, and has graduated 5 PhD students since 2016.