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followers: 15.0 following: 21.0 repos: 41.0 gists: 22.0

Name: Stu Field

Type: User

Bio: I am a R software engineer and a data scientist with 12+ years experience implementing machine learning in biomarker discovery in proteomics

Twitter: stufield3

Location: Fort Collins, Colorado

Blog: https://www.linkedin.com/in/stu-field-133396a/

Hi, I'm Stu Field!

I'm a software engineer and data scientist from 🇨🇦 and currently living in Fort Collins, Colorado.

I am currently exploring new employment opportunities, so if you think my skill set and experience is a match for your team, please reach out!

You can find me on , , , or via email ➡

I maintain several R software suites (packages) designed to implement machine learning techniques in biomarker discovery. This supports projects in the general health care space to generate proteomic based clinical insights in health spaces such as: liver disease, aging, cardiovascular disease, alcohol effects, exercise status, and metabolic disease.
Favorite techniques:
- logistic regression (old faithful)
- random forest
- naive Bayes
- KKNN (nearest neighbor)
I am a proponent of the open-source software, conducting the majority of my research/analysis via Linux Toolkits, R, and the RStudio IDE.
I promote conforming to the adherence of so-called "tidy" data, a philosophy of data science designed to share underlying data structure, grammar, and format which facilitates the generation of reproducible analyses.
Apart from coding I love to ride my 🚴, come say hi on

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Stu Field's Projects

code-works

This is simply a script repository, mostly a dumping ground for R scripts that don't have a proper home

covid-19

Quick and dirty visualization of COVID-19 case data from the Colorado Dept. of Public Health & Environment

csu-career-day-2018

Slides for presentation on the CSU careers in Life Sciences Day 2018

devel

This "package" is the development package. It contains a loose testing ground of functionality without a home

git-hooks

A testing ground for Git hooks ... what they do and when they're triggered

git-staa-577

Slides, code, cheat sheets, and RStudio lab notebooks for "Applied Machine Learning" course for Spring 2019

gitr

A light-weight, dependency-free, API to access system-level git commands from within R

grapevine

The Grapes of Wrath. A simple set of useful, unique, and non-standard binary operators.

hex-images

A repository for typical PNG and/or SVG hex stickers primarily of the tidyverse

hex-stickers

Creating and manipulating hex stickers for R projects and packages. I stole this from somewhere but can't remember where

mehan-scripts

Crude greedy backup of original R scripts passed down from Mike Mehan

methyl-seq-analysis

A quick directory structure and setup for the Methyl Seq Analysis at ARBL

monty-hall-paradox

Attempt to explain the Monty Hall paradox with a simple simulation

mosquitosnp

Summary scripts of the African mosquito SNP data evaluating population genetic resistance to pesticides

packages-report

A repo from the WFT-workshop at RStudio Conf 2019 with Jenny Bryan and Jim Hester

power

A rudimentary power analysis tool geared towards 2-group comparisons

recipes

Pipeable steps for feature engineering and data preprocessing to prepare for modeling

remotes

Install R packages from GitHub, GitLab, Bitbucket, git, svn repositories, URLs

reprex-collection

A collection of *.R source code and *.html files of useful R tricks coded a reproducible examples via reprex

rstudio-conf-2018

Workshop materials from the Rstudio::conf2018 Machine Learning with Max Kuhn

rstudio-conf-2019

Data, code, and workshop files used during the RStudio Conference 2019 "What They Forgot to Teach You About R" with Jenny Bryan

slide-template

GitHub Repository for Rmarkdown Xaringan Slideshow Presentations

The SomaDataIO package loads and exports 'SomaScan' data via the 'SomaLogic Operating Co., Inc.' proprietary data file, called an ADAT ('*.adat'). The package also exports auxiliary functions for manipulating, wrangling, and extracting relevant information from an ADAT object once in memory.