Projects:
1. Great Performers 2020 —The New York Times Magazine
Link ︎
Year – 2020
Type – Digital
Work – Design, Code
With Kate LaRue and Jacky Myint
2. The Decameron Project —The New York Times Magazine
Link ︎
Year – 2020
Type – Digital
Work – Design, Code
With Kate LaRue and Jacky Myint
3. The Office: An In-Depth Analysis of Workplace User Behavior —The New York TimesLink ︎
Year — 2019
Type — Digital
Work — Design, Motion, Illustration, Code
Collaboration/Creative direction by Tracy Ma
4. The Design Report: Visualizing the 2018 AIGA Design Census
Link ︎
Featured on AIGA Eye On Design ︎
Year — 2018
Type — Digital
Work — Design, Data Visualization, Code
5. The Best of Illustration 2019 —The New York Times
Link ︎
Year — 2019
Type — Digital
Work — Design, Code
Collaboration with Antonio De Luca
6. Sweatpants Forever —The New York Times Magazine
Link ︎
Year – 2020
Type – Digital
Work – Design, Code
7. The Culture Issue: Bad Bunny —The New York Times Magazine
Link ︎
Year – 2020
Type – Digital
Work – Design, Code
8. Looking Back at People Watching the Apollo 11 Mission—The New York Times
Link ︎
Year — 2019
Type — Digital
Work — Design, Code
Advised by Rumsey Taylor
9. Various Works
—The New York Times
Year — 2019
Type — Digital
Work — Design, Motion, Illustration, Code
All work at The Times ︎
10. Anomie — Lunar Gala Year — 2019
Type — Digital, Branding
Work — Design, Motion, Code
11. Signs from God
Year — 2019
Type — Print
Work — Design
12. Abstraction Recognition
Year — 2018
Type — Print, Physical artifacts
Work — Participatory design, Graphic design, Motion
13. Generous Feedback
Year — 2019
Type — Print, Exhibit
Work — Creative direction, Graphic design, Participatory design
Collaboration with Faith Kim, Juan Aranda, HeeSeo Chun
14. The Reddit Bible
Year —2019
Type — Sentence embedding (InferSent), basil.js, Python
Work — Design, lots of code
15. Et Cetera ︎
Small sketches and things, incl. a chat room!
Reddit Bible
This was a project from Golan Levin’s Creative Computing class.
The objective of this project was to create a fully computer generated book, design and content, via basil.js, and any sort of language generating code (RiTa, Markov, etc).
In short, the Reddit Bible compares questions found on 8 advice boards of reddit with interrogative sentences found in the bible, using the machine learning library InferSent, then is laid out in inDesign using basil.js, showing visually how similar original sentences are.
Here are some of the results.
“InferSent is a sentence embeddings method that provides semantic representations for English sentences. It is trained on natural language inference data and generalizes well to many different tasks.”
The Code Process
This is a condensed version of all the code process used to create this project. For in depth information, go here.
- Scraped Reddit advice forums for questions, and compiled into multiple CSV databases.
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I scraped 8 boards: r/advice, r/internetparents, r/legal_advice, r/need_a_friend, r/need_advice, r/relationship_advice, r/tech_support, r/social_skills
- Then I scraped the Bible (KJV) for questions. Any sentence that ends in a “?”.
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Using Infersent, the machine learning sentence embedding library, I found the best matching pairs from reddit and the bible.
- This too was compiled in a CSV database.
- I generated smaller CSV files that I could then port them into Basil.js.
- Using Basil.js, I was able to design some of the data into the the layout, such as the circle, which represents how closely related the two sentences are.
