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Jonathan Cousins
Partner at Cousins & Sears Creative Technologists
Jonathan Cousins is a multifaceted professional who co-founded and serves as a partner at Cousins & Sears Creative Technology, a creative services firm based in Brooklyn, New York.1 His expertise spans technology design, artistry, software programming, and business ownership.1
Professional Background
Cousins has been a partner at Cousins & Sears Creative Technology since January 2011, where he focuses on computational and interaction design, information visualization, hardware fabrication, and application development.1 The firm works with various clients, including Hearst Corporation and IPG Media Lab.1
Education and Academic Experience
Jonathan Cousins holds multiple degrees:
- BA in History from the University of Florida, graduating with high honors (magna cum laude)
- Masters in Interactive Telecommunications from New York University
- BA in Art and Electronic Design from The City University of New York1
He has also contributed to academia, serving as an Adjunct Faculty member at New York University's Interactive Telecommunications Program (ITP) from August to December 2010, where he created and taught a graduate-level course on information visualization.1
Career Highlights
Throughout his career, Cousins has:
- Worked as a Senior Software Developer and Designer of Data Visualization at Tripledex from 2007 to 2010
- Held the position of Associate Director of Corporate Communications at Columbia Artists from 1999 to 2005
- Co-founded SensorPush, a wireless sensor manufacturer1
Achievements and Recognition
Jonathan's work has been showcased at prestigious venues and festivals, including:
- Sundance Film Festival
- BAM Next Wave
- Edinburgh Festival
- Coachella1
He has also consulted with and presented his work to organizations such as Bloomberg, MIT, VICE Media, the U.S. Department of State, and The World Bank.1
In addition to his professional accomplishments, Jonathan Cousins has been an active musician for 30 years and holds a certification in Machine Learning from Stanford University, issued in January 2014.1