About Me

I am a biostatistician at the Wake Forest School of Medicine with extensive experience in statistical consulting, spatial statistics and Bayesian hierarchical modeling in a high performance computing environment.

In addition, I am a Ph.D. candidate in the Department of Statistics & Operations Research at UNC Chapel Hill, where my research focuses on the analysis of spatial extremes.

Technical Skills

• Programming Languages: R, SAS, Python, LaTeX, Markdown, MATLAB
• Operating Systems: Linux (PopOS, Ubuntu), MacOS, Windows10
• High Performance Computing: Bash scripting, PuTTY, SLURM job scripting
• Machine Learning Frameworks: Tidymodels, scikit-learn, keras
• Statistical Modeling: Bayesian hierarchical modeling, spatial statistics, extreme value theory, causal inference, survival analysis, meta-analysis, statistical machine learning
• Data Wrangling/Manipulation: Tidyverse, pandas
• Data Visualization: Ggplot2, gganimate, matplotlib/seaborn
• IDEs/Version Control: Rstudio, Jupyter Notebook, Git

Certifications

• CITI Program: Biomedical Investigators and Human Research: Jun 2022 - June 2025 (Credential ID: 49280602)

For additional information concerning my education and professional experience see my resume (last updated 2024-06-16).