Info ︎

Projects:


1. The Office: An In-Depth Analysis of Workplace User Behavior —The New York Times

Link ︎


Year — 2019
Type — Digital
Work — Design, Motion, Illustration, Code

Collaboration/Creative direction by Tracy Ma





2. The Decameron Project —The New York Times
Magazine

Link ︎


Year – 2020
Type – Digital
Work – Design, Code

With Kate LaRue and Jacky Myint




3. Great Performers 2020 —The New York Times Magazine

Link ︎


Year – 2020
Type – Digital
Work – Design, Code

With Kate LaRue and Jacky Myint




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! 




Mark

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.

  1. Scraped Reddit advice forums for questions, and compiled into multiple CSV databases. 
  2. 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
  3. Then I scraped the Bible (KJV) for questions. Any sentence that ends in a “?”. 
  4. Using Infersent, the machine learning sentence embedding library, I found the best matching pairs from reddit and the bible. 
  5. This too was compiled in a CSV database. 
  6. I generated smaller CSV files that I could then port them into Basil.js.
  7. 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. 



See ALL (8000+) sentence pairs ︎︎︎