I am a PhD candidate in Biostatistics at Florida State University with a strong background in statistics, data science, and machine learning. My research focuses on Bayesian methods, spatial statistics, and causal inference, particularly applied to health disparities and medical research.

• Bayesian Statistics
• Biostatistics and Health Policy
• Spatial Statistics
• Causal Inference
• Machine Learning & Deep Learning
• Monte Carlo Methods
• Mixed Effects Models

• BigRiverQTL.jl - A Julia package for quantitative trait locus (QTL) analysis. Registered in August 2024, this package streamlines the QTL analysis workflow through preprocessing, genome scans, and visualization components.

• "Analysis of spatially clustered survival data with unobserved covariates using SBART" - Biometrics (2024)

• "Modeling of clustered censored survival data with spatial correlated random effects using SBART"
• "Estimating Causal Effects in Spatially Clustered Survival Data Using BART"
• Bayesian extension of "Flexible multivariate linear mixed models for structured multiple traits"
• Bayesian Tensor regression on big skewed data with mixed response

	Winner, Health Policy Statistics Section Student Paper Competition, American Statistical Association
	R.L Anderson Graduate Student Poster presentation award (Ranked 2nd)
	Boyd Harshburger Travel award
	Outstanding Research Presentation Award, GSN (Ranked 2nd)
	First place, FSU Data Science Competition
	Fifth place, FSU Data Science Competition

• Data Science Intern - University of Tennessee Health Science Center (2024)
• Biostatistics Researcher Intern - Sanofi (2023)
• Statistical Consultant - ESA South Inc, FL (2022)
• Research Assistant - College of Medicine, FSU (2021-2022)
• Biostatistician - Global Health Collaboration Project (WHO) (2021-Present)
• Solo Instructor - Florida State University (2022-2024)
  • Introduction to Applied Statistics
  • Statistics through Example
  • Statistics for Biology
  • Fundamental Business Statistics

"Statistics is the grammar of science." - Karl Pearson