The DuKode Studio focuses on creative data transposition to many forms, including software, animation, print, and physical objects. DuKode's particular specialty is scientific visualization. Its principals, Ilias Koen and Arlene Ducao, first collaborated in a 2003 Physical Computing class at the School of Visual Arts MFA Computer Art program. In addition to their MFAs:

DuKode's team includes:

  • Juhee Bae, Researcher. Juhee is an MIT student concentrating on Urban Studies and Planning and Civil and Environmental Engineering. She’s highly experienced in community outreach projects, having worked with communities in Boston, New Orleans, rural India, South Africa, and Panama. When not DuKoding, Juhee runs the InnoWorks' MIT chapter and blogs.

  • Rachel Mersky, Designer. Rachel holds a BA in Film Studies from Barnard College, and currently lives in Philadelphia. When not DuKoding, she's probably spending hours in a cafe drawing pictures of hedgehogs.

  • Aziz Alghunaim, Coder. Aziz is a student at MIT pursuing a degree in Electrical Engineering and Computer Science. He grew up in Saudi Arabia, which gave him international exposure. While abroad, he was involved with national plans to enrich the Arabic digital content on the web, specifically games and multimedia. When not DuKoding, Aziz pursues interests in systems, robotics, and artificial intelligence.

  • José Luis Gonzalez Designer. José holds an MS in Architecture from Columbia University and a BA from Universidad de Los Andes in Bogota, Colombia. He co-founded SOFTlab, an award-winning design studio, and has taught at Columbia, Parsons, and Pratt. When not DuKoding, he is often found with his wife and kids in LIC.

  • Cliff Lee, Summer 2012 Intern. Cliff is an art student at Allegheny College. When not Dukoding, he is adding items to his list of cheap things to do in the city.

DuKode has collaborated with nonprofits, think tanks, artists, educational publishers, pop stars, government agencies, scientists, and sociologists. DuKode is always open to new collaborations–please contact us for more information.

Frequently Asked Questions:

  1. What is scientific visualization? When scientific data is collected (i.e. in the field or from a satellite) or when scientific equations are modeled, the most efficient way to store the results is as a set of numbers. However, a spreadsheet or text file of numbers can be hard for a scientist to quickly interpret, and it can definitely be hard for a layperson to understand. Scientific visualization bridges this gap by translating scientific data into a graphical format. Visualization is most often used to help understand phenomena much larger and much smaller than that which is seen with the naked eye.

  2. What is physical computing? The term physical computing is most often used to describe handmade (or at least non-mass-market) objects created with microcontrollers, input devices like sensors, and output devices like motors or LEDs.