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Achievement: YOLOAchievement: Pull Sharkx2Achievement: Arctic Code Vault Contributor
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wzbillings/README.md

(W.) Zane Billings

https://wzbillings.com @wzbillings@fediscience.org Linkedin: wzbillings GitHub: wzbillings ORCid Gmail

GitHub stats

About me

  • I'm currently a PhD student at the University of Georgia. I work on flu epidemiology and immunology, supervised by Andreas Handel.
  • I'm a computational epidemiologist. My official degree name is "Epidemiology & Biostatistics with an emphasis in Data Analysis and Modeling".
  • 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.

: ggplot2, tidyverse, tidymodels, data.table, lme4, nlme

: PyTorch, matplotlib, statsmodels, scikit-learn

  • Tech stuff: Stan, SQL (MS SQL server), LaTeX, spreadsheets, Mathematica, MATLAB, Quarto (and R Markdown)
  • Stats stuff: mixed-effects linear (regression) models, machine learning / predictive analytics, data visualization, exploratory data analysis, data cleaning and wrangling, statistical inference, Bayesian methods, time series analysis.

Highlighted work

If you want to see some of my projects, see my pinned posts below! For a directory of my work by subject, you can check here.

Pinned

  1. quarto-website quarto-website Public

    My personal website and blog!

    HTML

  2. SR-notes SR-notes Public

    My notes for statistical rethinking

    R

  3. zlib zlib Public

    Zane's R package

    R 1

  4. ZaneBillings-MADA-portfolio-2021 ZaneBillings-MADA-portfolio-2021 Public

    Machine learning, predictive modeling, and data science course projects

    R 1

  5. SAS-Grain-Prices SAS-Grain-Prices Public

    Final project for BIOS 7400 with Xiao Song at the University of Georgia (USA), Spring 2022. Simple analysis in SAS v9.4 of grain price trends.

    SAS

  6. Patient-vs-Clinician-Symptom-Reports Patient-vs-Clinician-Symptom-Reports 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