About Me
Statistician and data scientist with a Ph.D. in Statistics and Data Science and 5+ years of research, teaching, consulting, and mentoring experience. I'm passionate about making quantitative methods accessible to diverse audiences, and I work at the intersection of rigorous statistical inference and real-world impact in environmental science, public health, and policy.
Education
Systems Modeling and Analysis. Dissertation: Bayesian Animal Movement Models.
Thesis: Mixed-effects models for longitudinal ordinal health outcomes.
View thesis →Undergrad Research: Modeling continuous response variable using SAS software.
View project →Affiliate Researcher: The College of William & Mary, Virginia Institute of Marine Science. Affiliate student and researcher of The Environmental Statistics and Transdisciplinary Data Science Lab.
Professional Experience
Research & Data Science
- This position is funded and placed through the Virginia Sea Grant.
- Work involves geospatial analysis using ArcGIS Pro and applied machine learning methods.
- Developed a Bayesian predictive model for imputing and forecasting spatiotemporal data, improving decision-making accuracy for fisheries policy.
- Built automated data workflows, enhancing reproducibility and integrity for complex, large-scale spatiotemporal datasets.
- Designed an Oracle simulation framework to evaluate model accuracy and robustness.
- Developed production-ready R Shiny web application that operationalizes PhD research models, providing a user-friendly interface for non-technical stakeholders.
- Optimized large-scale Bayesian and MCMC models using High-Performance Computing (HPC) and integrated efficient C++ code via Rcpp.
- Collaborated with interdisciplinary researchers on HHMI-funded project to support educational initiatives through data analysis and visualization.
- Prepared reports and visualizations for stakeholders; contributed to multiple peer-reviewed publications.
Teaching & Consulting
- Taught Calculus with Analytic Geometry to undergraduate students as sole instructor of record.
- Created course materials and assessments; held regular office hours to support student success.
- Consulted on diverse research projects across medicine, public health, psychology, and finance.
- Recommended appropriate statistical methods tailored to each study's design and objectives.
- Implemented data cleaning, exploratory analysis, generalized linear models, machine learning methods, and visualizations to communicate complex results to both technical and non-technical audiences.
Technical Skills
Programming & Tools
R (Rcpp, Shiny, tidyverse), Python (NumPy, Pandas, scikit-learn), C++, SQL, SAS, SPSS, Git, Jupyter Notebooks, Power BI, High-Performance Computing (Slurm)
Data Engineering
ETL Pipelines, Data Wrangling & Quality Control, Geospatial Data (ArcGIS Pro, GDAL), API Integration, REDCap
Statistical & ML Methods
Bayesian Inference, MCMC, Spatiotemporal Modeling, Time Series Forecasting, Linear/Logistic Regression, GLMs, Mixed-Effects Models, Supervised/Unsupervised ML, Missing Data Imputation
AI & LLMs
Exploring LangChain, prompt engineering, agentic workflows for data analysis and research automation
Soft Skills
Mentorship & Team Collaboration, Scientific Writing, Presenting Technical Insights to Non-Expert Audiences, Accessibility in Quantitative Work
Selected Honors & Awards
Leadership & Community
Community Involvement
- Virginia Women in High Performance Computing (VA-WHPC) — Committee Member (Feb 2025–Present)
- VCU Society for Industrial and Applied Mathematics (SIAM) Chapter — Vice President (2025–Present)
- VCU Society for Industrial and Applied Mathematics (SIAM) Chapter — Secretary (2024–2025)
- VCU Statistical Sciences and Operations Research Data Science Team — President (2022–2023)
Mentoring & Volunteering
- Mentored a student who delivered a lightning talk at VA-WHPC and won First Place Prize (Nov 2024)
- Mentored STEM undergraduate students in the 2nd Annual SURE Conference (Oct 2025)
- RAMily Captain, VCU Global Education Office (Fall 2022)
Professional Affiliations
- Affiliate Student, Virginia Institute of Marine Science (William & Mary)
- Member, Washington Statistical Society (WSS)
- Member, American Statistical Association (ASA)