I specialize in teaching data science and data literacy to non-traditional college students both in-person and online. Currently, I am the course director for Data Visualization and Modeling, The Artificial Intelligence Ecosystem, and User Experience Research Analytics at Full Sail University in Winter Park, FL. I focus on creating engaging learning materials for adults who may never have encountered data science in previous educational experiences.
Previously, I worked as a research statistician in the Klein Ocular Epidemiology Research Group where I developed statistical models of eye disease including age-related macular degeneration and diabetic retinopathy. You can find a list of papers I authored or co-authored on PubMed.
Project-Based Statistics
Project-Based R Companion to Introductory Statistics is a supplement to a traditional statistics or biostatistics textbook, covering topics such as descriptive statistics, regression, and hypothesis testing with an emphasis on the practical skills of testing assumptions, data exploration, and forming conclusions.
These projects are a practical, real-world alternative to traditional homework problems and illustrate how to conduct a complete, start-to-finish data analysis using the R statistical software package.
Key Features Include:
- Organized in chapters focusing on the same topics found in typical introductory statistics textbooks (descriptive statistics, regression, two-way tables, hypothesis testing for means and proportions, etc.) so instructors can easily pair this supplementary material with course plans
- Real-world datasets from scientific publications in the fields of history, pop culture, business, medicine, and forensics
- Students gain experience working through a variety of statistical analyses from start to finish