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.
PhD in Biostatistics, 2025
Emory University
MS in Statistics, 2019
Montana State University
BA in Mathematics & Economics, 2015
University of California, Santa Cruz