Luke is a research instructor in the Department of Biostatistics & Informatics
and Center for Innovative Design and Analysis at the Colorado School of Public Health. Luke's studies were originally geared to a healthcare practitioner’s career, but his affinity for quantitative analysis led him to pursue a biostatistics career. He is especially skilled in the analysis of longitudinal or correlated data, but also has experience with a wide array of methods including predictive modeling, causal inference, and simulation studies. He often works with both big data from electronic health records for quality improvement projects, and relatively small scale data aimed at describing novel correlations in multiple research areas.
Luke works predominantly in R for statistical computing and data management, but is fluent in SAS and has experience with Stata, Python, G*Power for power calculations, and Simul8 for discrete event simulation. His research interests in include endocrinology and metabolic studies, as well as other research aimed explaining unique physiological phenomena.
"Analyzing the data for research studies and investigators that are making the world a better place. There is a lot of research going on at CU Anschutz and I boil down a large complex question into an actionable result."