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Zach Pino

Assistant Professor of Data-Driven Design

Zach Pino

“This opportunity to create not singular, fully understood designs, but rather incredibly intricate and dynamic multiples of our experience, is a tremendous moment in design.”


Fascinated by how today’s interactive objects can embody data in their fabrication, functionality, and form, Institute of Design Assistant Professor Zach Pino designs with generative algorithms, machine learning models, wearable technologies, and reactive materiality. He aims to create data visualizations, personalized objects, accessible interactive experiences, and fabrication processes that educate, include, surprise, recollect, and encourage contemplation. He holds a bachelors of arts from the University of Chicago and a masters of design degree from the School of the Art Institute of Chicago.

Industry Experience

Zach’s contributes code to dozens of open source projects, and his work has been displayed at the Istanbul Design Biennial, Volume Gallery in Chicago, the Art Institute of Chicago, and the Block Museum of Art. He has led technology-development projects with Steelcase Furniture and NEC America, and has built many digital prototyping courses and educational programs in design departments throughout Chicago for students of all ages and backgrounds.

Recent work

Book Sections

Fuller, Jarrett. 2023. “How Does Someone Become a Designer?” Where Must Design Go Next? Novato, CA: ORO Editions.



Cain, John, and Zach Pino. 2023. “Navigating Design, Data, and Decision in an Age of Uncertainty.” She Ji: The Journal of Design, Economics, and Innovation, The Future of Design Education: Rethinking Design Education for the 21st Century, 9 (2): 197–212.

Pino, Zach. “Form and Function.” Poetry 216, no. 3 (2020): 256–59.

Zach Pino & ID Students Explore Vulnerability and Self-Tracking through Four Designs

Assistant Professor Zach Pino led the Memiro team, which produced four distinct designs exploring self-tracking technologies for vulnerable populations: Digital Legacy, Community-Driven Cartography, Moving Alignment, and Personal Encoding.