Case Study: University of Arizona achieves reliable neuroscience model validation with Jellyfish.tech’s SciDash

University of Arizona builds SciDash in 1.5 years with Jellyfish.tech

The client, a professor specializing in neuroscience at the University of Arizona, faced a significant challenge in validating complex scientific models against experimental data without a unifying platform. Jellyfish.tech collaborated with the professor to develop a bespoke web application called SciDash to meet this need, aiming to provide reliable model testing and comprehensive visualization for neuroscientists.

Jellyfish.tech developed the SciDash scientific dashboard, a platform built using Python and leveraging the SciUnit framework and NeuronUnit library for meticulous model validation. The solution provided an intuitive interface for running tests, viewing scores, and visualizing results, streamlining the research process. As a result, SciDash became a vital resource for the university, offering reliable unit testing and enhancing the professor's ability to focus on advancing neuroscience research.

University of Arizona