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wzbillings/README.md

(W.) Zane Billings, Ph.D.

https://wzbillings.com Email

About me

  • I just defended my PhD dissertation (successfully) at the University of Georgia. I work on flu epidemiology and immunology, supervised by Andreas Handel.
  • I'm a data scientist, formerly computational epidemiologist. My official degree name is "Epidemiology & Biostatistics with an emphasis in Data Analysis and Modeling". My primary interests are observational study statistics, bayesian hierarchical models, and influenza vaccine immunology.
  • Outside of work, I like reading fantasy and horror novels (AKA stats books); some video games; cooking and/or baking; and occasionally hiking.

Skills, etc.

  • R: base, tidyverse, ggplot2, tidymodels, lme4, nlme, mgcv, brms
  • Python: base, matplotlib, statsmodels, scikit-learn
  • Tech stuff: Stan, LaTeX, spreadsheets, Quarto (and R Markdown)
  • Stats stuff: (bayesian) mixed-effects models, machine learning / predictive analytics, data visualization, exploratory data analysis, data cleaning and wrangling, statistical inference, Bayesian methods

Pinned Loading

  1. wzbillings.com wzbillings.com Public

    My personal website and blog, created with Quarto this time.

    HTML

  2. flu-dist-v-phylo-trees flu-dist-v-phylo-trees Public

    A brief report comparing the ability of distance-based neighbor joining trees to recreate evolutionary history (judged from a phylogenetic ML tree based on the sequences).

    R

  3. ahgroup/billings-patient-reported-symptom-data-public ahgroup/billings-patient-reported-symptom-data-public Public archive

    Code to accompany "Use of Patient-Reported Symptom Data in Clinical Decision Rules for Predicting Influenza in a Telemedicine Setting" by Billings et al, JABFM 2023

    R

  4. ahgroup/billings-high-dose-heterologous-public ahgroup/billings-high-dose-heterologous-public Public archive

    Code and data associated with Billings et al., "High dose inactivated influenza vaccine inconsistently improves heterologous antibody responses in an elderly human cohort", JID 2025.

    TeX

  5. ahgroup/billings-breadth-quantification-public ahgroup/billings-breadth-quantification-public Public

    Code and data associated with Billings et al., "A novel method for robust quantification of influenza vaccine strength and breadth", in preparation

    R

  6. ahgroup/billings-comp-agdist-public ahgroup/billings-comp-agdist-public Public

    Code and data associated with Billings et al., "Different antigenic distance metrics generate similar predictions of influenza vaccine response breadth despite low correlation", in preparation.

    TeX