iglu: Interpreting Glucose Data from Continuous Glucose Monitors

iglu provides functions for outputting relevant metrics for data collected from Continuous Glucose Monitors (CGM) and can be utilized on any dataset containing the necessary CGM data fields. See Rodbard (2009) for reference. The package is the result of a team effort led by Dr. Gaynanova and her Aggie Research Program team and a research collaboration with Johns Hopkins University. iglu is currently available on both CRAN (ver 3.0.0) and GitHub.

bp: Blood Pressure Analysis in R

The bp package is the first open source R software package dedicated to analyzing blood pressure using various medical metrics from the Hypertension literature in addition to a suite of continuously-improving visualizations. The package is equipped with 6 publicly available data sets (4 HBPM data sets, 1 ABPM data set, and 1 AP data set) and also allows users to import and process their own data into a unified format. In addition to metrics and standalone visuals, the package has the ability to create a report for clinical use to summarize a given patients blood pressure trends. The bp package is available on both CRAN (ver 2.0.0) and GitHub.

The bp package was presented at the 2021 R/Medicine Conference. The poster can be found here.

bp Shiny App: A Web-based User Interface for the bp Package via Shiny

As a programming-free alternative to the bp R package, a Shiny app has been developed to allows all users to easily analyze their own data withou the need to know the R programming language. This project is still in development and is set to be published to a public URL by Fall 2021.

Riding For Research: NYC to Alaska

In the summer of 2019, I rode my bicycle 5,775 miles from New York City, New York to Seward, Alaska in an effort to collect various high-resolution geospatial and biometric data, including continuous heart rate, blood pressure, spatial coordinates, weather, and nearly 50 others. The data is all currently hosted on the Harvard Dataverse and the final Power BI dashboard is available here (and in the dashboard tab at the top of this page), but I am still working on migrating all of my code to a public GitHub repository. The estimated completion date for this migration is end of 2020.