Dr. Lloyd Elliott
Statistical genetics and genomics, informatics, Bayesian statistics, machine learning
With expertise in modern machine learning and software development, Dr. Elliott enables genome-wide association studies on large-scale (>0.5 million subjects) consortia to uncover patterns and extend associations to phenotype predictions. Toward understanding how genetics affects human brain structure and function, his group is developing efficient computational and machine learning methods to analyze and interpret the genetic associations between neuroimaging and genetics. Beyond improving our understanding of the genetics of brain architecture, such innovative techniques may also be important research tools in the developing field of personalized medicine, helping to accelerate progress; i.e., to understand neuropathology and the interaction between genetics and high-dimensional epidemiological measurements such as lifestyle.