About Me
I am a biostatistician at the Wake Forest School of Medicine with 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, Python, SAS, LaTeX, MATLAB (Octave), Markdown
- Operating Systems: Linux (PopOS), MacOS, Windows10
- High Performance Computing: ROCm, Bash scripting, SLURM job scripting
- Machine Learning Frameworks: Tidymodels, scikit-learn, pytorch
- 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, VSCode, Jupyter Notebook, Git
Certifications
- CITI Program: Biomedical Investigators and Human Research: Jun 2022 - June 2025 (Credential ID: 49280602)