Mission: Columbia

Columbia: Data Science Design

Problem
New data science institute. Needed industry. There was no site yet.
Action
User research with computer science leaders (CTOs). Then a brand-new public + private site. Academia meets capital.
Result
Affiliates +600%. 3 sponsors → 20+. Industry reach and revenue potential went vertical. Correct direction.

Challenge

Columbia stood up data science. Mayor Bloomberg’s grant required a public and private site so industry and academia could actually talk to each other. Brand new. No inherited stack.

Response

User research with computer science leaders, CTOs. Then I built and grew a multi-user CMS that connected industry partners to faculty and students at Columbia University. Not a brochure. A machine.

The process was design thinking: discover, define, design, develop. Stakeholder interviews, comparative reviews, content audits, card sorts, IA, personas, sketches, wireframes, visual design, web development, user testing, maintenance. First principles. Then we shipped.

User research wrote the requirements. Authenticated users got the real payload: private file library, exclusive video conferences, direct faculty access. Public got the research (Bloomberg + Columbia) plus news, events, and videos. Two surfaces. One system.