Solomon has maintained a lifelong passion for Mathematics, completing his undergraduate degree in Mathematics in just two years and going on to pursue doctoral-level research in the field. During Solomon’s tenure in the Statistics PhD programme at the University of Washington, he collaborated with many other PhD researchers in the Social Sciences, Public Health, and Medicine. Solomon’s main focus areas during his PhD studies encompassed both theoretical and applied statistics, including causal inference, survival analysis, and spatial epidemiology. His current research interests are focused on improving the predictive accuracy of various machine learning algorithms, with emphasis on the potential applications in Finance and Biostatistics. Solomon is an accomplished R package writer, with several successful submissions to the Comprehensive R Archive Network (CRAN).