→ Seth Thompson

Website de­sign and de­vel­op­ment for the Yale School of Architecture. The site was de­signed to show­case stu­dent work and fea­ture a time­line of the con­struc­tion process of the 2018 house. Rather than fo­cus­ing on a sin­gle im­age of the fi­nal pro­ject, the web­site at­tempts to high­light the en­tirety of the de­sign and con­struc­tion process.

Lead de­vel­op­ment of mo­bile web app and re­al­time WebGL video wall for Olive Young. Shown at KCON 2017 in Los Angeles, CA and at Olive Young’s flag­ship store in Seoul, KR. Visitors were able to paint an “Orby” sphere on their phone and see changes ap­pear in re­al­time on the video wall.

• Design by And Or Forever
• Brushes by Ezra Miller
• Frontend by Guillaume Boucher
• Identity by Moonsick Gang

In progress Node.js tool to cre­ate on­line con­tent di­gests for picky read­ers. Readrc al­lows users to cre­ate their own al­go­rithms to cu­rate on­line con­tent and share it with oth­ers on the P2P web with Dat and Beaker Browser.

Poster se­ries and 3D ren­der­ings for the Modern Love dance party in New Haven, CT.

Node.js tool to au­to­mat­i­cally check artists’ web­sites for new work. This tool al­lows users to fol­low artists while es­chew­ing Tumblr and other 3rd party feeds. This process gives con­trol back to the artist and al­lows them to dis­play work with con­text and orig­i­nal­ity on a plat­form they con­trol (their own web­site).

Website de­vel­op­ment for a pre­sen­ta­tion of Guillaume Boucher’s pho­tog­ra­phy and graphic de­sign. Guillaume wanted a web­site that would trans­late French speech live into English sub­ti­tles. Developed with the Web Speech API and Google Translate.

• Content and Frontend Design by Guillaume Boucher

Oil paint­ing, photo, and ren­der­ing of Beau Gabriel in his Paris apart­ment. The 3D ren­der­ing is a dig­i­tal re­con­struc­tion of the aprart­ment one year later, from mem­ory–an at­tempt to use a high fi­delity medium to sketch out a mem­ory of a place and time.

Experimental im­age se­ries of 3D ren­der­ings with in­ten­tion­ally low fi­delity. These im­ages are cre­ated by low­er­ing the num­ber of sam­ples used by a phys­i­cally cor­rect, un­bi­ased path­trac­ing ren­derer.