Cornell’s AI Innovation Lab website recently received a makeover from students in the Master of Professional Studies program in information science. The website overhaul was one of 10 projects led by MPS student teams this fall as part of the MPS Project (INFO 5900), the semester-long, hands-on practicum where students partner with client companies and organizations – big and small – to develop solutions to real-world problems.
Google, Dell, EcoLab, and AlmPower were some of the participating companies during the fall 2025 semester.
The student team working with Cornell’s AI Innovation Hub reimagined a structured, dynamic website rather than a traditional static page, said Tomas Siurna, MPS ’26, who served as project manager and lead designer.
“We built a new architecture that connects people, projects, tools, and events across campus, allowing the site to grow organically as Cornell’s AI work expands,” he said. “This system not only makes the ecosystem easier to navigate but also turns the website into an active map of applied AI at Cornell.”
The new site, which launched in late January, streamlines navigation, bolsters the homepage with rich content, and adds animations that change based on the site’s content to give it a visual identity. Siurna called this living identity one of the new site’s most innovative features.
“As new projects, themes, and departments are added, the pattern shifts, creating a continuously updating visual signature that reflects the Hub’s activity in real time. It is a small but powerful way to communicate that the Hub is always moving, experimenting, and building,” he said. “The final product is a modern, unified platform that showcases Cornell’s AI work with structure, clarity, and a bit of magic under the hood.”
Elsewhere, an MPS student team worked with Dell to develop a prototype generative artificial intelligence (GenAI) tool for exploratory data analysis – a kind of analytical shortcut used to comb data sets to find general attributes, like patterns and trends, without doing more complex analysis.
Sharlane Cleare, lecturer of information science and course instructor, commended students for their ability to adapt to the conditions of each project.
“I was impressed with the student's ability to take general technical requirements and transform them into concrete, implementable solutions given the tight time constraints,” she said.
Louis DiPietro is a writer for the Cornell Ann S. Bowers College of Computing and Information Science.