Jack Wilburn

I'm a software developer based in Salt Lake City, Utah. I'm currently the lead developer overseeing $3,000,000 in data visualizations research for the Visualization Design Lab at the University of Utah.

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Current Projects

MultiNet

A multivariate network visualization toolbox that allows researchers to use state of the art visualization tools to interact with their data.

GitHub App
Neuromodulation Registry

A registry for DBS and TMS neuro-surgical data. Allows researchers to interact with neuromodulation data to generate and test hypotheses.

GitHub App
AQ&U

A central location for Utah air quality sensor data. This site and the associated sensor stations track air quality and relay that information to researchers.

GitHub App

Past Projects

Loan Outcome Prediction

Used client data to predict outcomes for each step of the loan process from first call to underwriting and funding.

GitHub App
Meme Generator

A python django web application that takes user input and applies the input as text on top of traditional meme templates.

GitHub App
Wiki Comment Classifier

A machine learning model, using Kaggle data, that predicts whether or not a Wikipedia comment is suitable for the platform.

GitHub App

Resume

Professional Experience

Software Developer

Scientific Computing and Imaging Insitute, University of Utah, Salt Lake City

Aug 2019 - Present

  • Lead software development efforts on over $3,000,000 of grant-funded research.
  • Work with faculty and students in designing and developing client-server applications.
  • Mentor students on software development best practices such as testing, CI/CD, and coding habits.
  • Independently develop user interfaces, APIs, and server components using technologies like HTML5, Vue.js, Typescript, D3.js, Flask, ArangoDB, Git, GitHub, Docker, AWS, GitHub Actions, webpack, npm, bash, and others.

Lead Data Scientist

Emperitas, Salt Lake City

May 2018 - Aug 2019

  • Productionized nosql OrientDB server with 10+ million Ethereum transactions and 20000+ known users as an example of KYC/AML approach.
  • Built, deployed, and maintained machine learning models for national bank to predict loan outcomes.
  • Built, deployed, and maintained CLV/ Journey Map models for clients and update their databases with pertinent information.
  • Scraped publicly available data using rvest (R) and beautiful soup (Python) to develop strategies for clients and internal processes.

Education

Master of Science: Computer Science

University of Utah, Salt Lake City

Jan 2021 - Dec 2022 (expected)

  • Expanding knowledge of computer systems as a whole, from low level hardware to operating systems to complex software.

Bachelor of Science: Mathematics

Westminster College, Salt Lake City

Aug 2015 - Dec 2018

  • Engaged in math, data, and computer science classes to develop data manipulation, data visualization and coding skills. NCAA D2 soccer player.

Articles

Journal link icon Sanguine: Visual Analysis for Patient Blood Management (Journal)

Information Visualization

2021

Journal link icon Sanguine: Visual Analysis for Patient Blood Management (Workshop)

Visual Analytics In Healthcare

2020

  • Developed API to support patient blood management dashboard.
  • Co-wrote and edited the final manuscript.

Journal link icon The International Neuromodulation Registry: An Informatics Framework Supporting Cohort Discovery and Analysis

Frontiers in Neuroinformatics

2020

  • Productionized website design that allowed for the storage and retrieval of deep brain stimulation (DBS) data.
  • Co-wrote and edited the final manuscript.

Presentations

How To De-anonymize 20,000 Ethereum Users, The Easy Way

Big Mountain Data and Dev, Salt Lake City

2019

  • Used data from public sources to tie user account information to the anonymous blockchain as a KYC proof of concept

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