Joey Lee
Graphics Multimedia Editor at The New York Times
New York, New York, United States
Summary
🤩
Rockstar🎓
Top SchoolJoey Lee is a multidisciplinary graphics and multimedia editor and engineer with 11 years of experience blending journalism, design, and code at institutions including The New York Times and MIT-affiliated research labs. Based in New York, he builds interactive charts, maps, and newsroom tools that turn complex weather and geospatial data into clear visual narratives. His open-source work on ml5.js and p5.js—adding PoseNet and YOLO examples and improving callback support—reflects a long-standing commitment to making machine learning and creative coding more accessible. Joey’s background spans academia and industry, from geospatial research and open science fellowships to teaching data visualization at NYU and SVA. He’s equally comfortable refactoring web editors and authoring teaching materials, bringing a designer’s eye to code and a coder’s rigor to storytelling. An outcome-driven creative technologist, he often surfaces the pragmatic next steps for projects that sit at the intersection of data, ethics, and public-facing journalism.
11 years of coding experience
6 years of employment as a software developer
Brazil Amazon Resource Management and Human Ecology, Brazil Amazon Resource Management and Human Ecology at School for International TrainingMaster of Science (M.Sc.), Geography, Master of Science (M.Sc.), Geography at The University of British ColumbiaUniversity of California, Los Angeles
French, Portuguese, Korean, German
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (29)
javascript10
function-call10
css10
machine-learning10
p5js10
callback10
front-end-development10
pose-estimation10
html10
object-detection10
computer-vision10
generative-art10
preprocessing9
file-management9
language-processing9
Programming languages (9)
Github contributions (5)
ml5js/ml5-library
Jan 2019 - May 2022
Friendly machine learning for the web! 🤖
Role in this project:
ML Engineer
ML EngineerContributions:15 releases, 81 reviews, 632 commits in 3 years 4 months
Contributions summary:Joey's commits primarily focused on adding and improving callback support for the PoseNet library, specifically for single and multi-pose detection functionalities. They addressed issues related to callback support for pose estimation, error handling, and indentation. Furthermore, the user contributed to the code by removing and reintroducing code to enable correct functionality and incorporated code for building and packaging.
imagenetdeep-learninglstmjavascriptp5xjs
ml5js/ml5-examples
Nov 2018 - Feb 2020
A collection of ml5.js examples
Role in this project:Full-stack Developer
Full-stack DeveloperContributions:9 releases, 245 commits, 192 PRs in 1 year 3 months
Contributions summary:Joey significantly contributed to the development of a PoseNet example, implementing features for single image detection and moving the webcam example to a subdirectory. They updated the contributing guidelines to reflect the new subdirectory structure and added code comments and formatting. The changes included adding callback functions and addressing code errors. The user also developed the YOLO example.
ml5machine-learningattribution
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