Lorin Crawford is an Assistant Professor of Biostatistics, and a member of the Center for Statistical Sciences and Center for Computational Molecular Biology at Brown. His scientific research interests involve the development of novel and efficient statistical and computational methodologies to address complex problems in quantitative genetics, cancer pharmacology, molecular genomics, and radiogenomics (i.e. cancer imaging). Dr. Crawford has an extensive background in both Bayesian and frequentist statistical modeling of massive data sets of high-throughput molecular information as it pertains to functional genomics and cellular-based biological processes. Reproducing kernel Hilbert spaces and factor regression based techniques have been a significant part of his past work. Recently, Dr. Crawford has worked on developing methods that take significant steps towards solving the computational costs and throughput limitations while studying nonlinear interactions among features in genetic association studies.
Lorin received his Ph.D. from the Department of Statistical Science at Duke University. His advisor was Dr. Sayan Mukherjee, and he was a member of Dr. Kris C. Wood's lab in the Department of Pharmacology and Cancer Biology. His Ph.D. dissertation is entitled: "Bayesian Kernel Models for Statistical Genetics and Cancer Genomics." Lorin received his Bachelors of Science degree in Mathematics, Summa Cum Laude, from Clark Atlanta University in 2013.