Timothy Randolph PhD

proteomics , mathematics/statistics , non-parametric models , likelihood methods , latent structure , multivariate analysis , machine learning , PDE/ODE , modeling , biomarker discovery , regulatory networks , MassSpec , imaging , NMR , longitudinal studies , education


Dr. Randolph's current research focuses on processing, classification and analysis of high-dimensional and/or functional data output from protein mass spectrometry, genetic assays and a variety of spectroscopies and imaging modalities. His other interests include methods for the analysis of networks used to describe gene and/or protein interactions.


Fred Hutch Clinical Research - Clinical Biostatistics Associate Professor