Biography

I am currently pursuing PhD in Biostatistics at Emory University with research focused on statistical machine learning methods for spatio-temporal data. Previously I have contributed statistics and machine learning expertise to a diverse set of problems in disease ecology, high-energy-density physics, air polution monitoring, epidemic spread of disease, and industrial process optimization. I also have experience providing general data science support through data visualization, SQL database design and management, and the building of web applications.

Interests

  • Bayesian Statistics
  • Machine Learning & Deep Learning
  • Spatio-Temporal Data Analysis

Education

  • PhD in Biostatistics, 2025

    Emory University

  • MS in Statistics, 2019

    Montana State University

  • BA in Mathematics & Economics, 2015

    University of California, Santa Cruz