Georgia Tech Visual Analytics Lab
The goal of our research is to develop interactive visual analytic applications that help people make sense of data. We approach this challenge through combining scientific techniques from information visualization, machine learning, data mining, and human-computer interaction to produce usable, yet powerful visual analytic applications.
Subhajit Das starts his PhD in Computer Science at the School of Interactive Computing and joins the lab after exploring how visual analytics can be used to help designers in decision making with Autodesk.
Fred and Emily interned at Pacific Northwest National Laboratory (PNNL). Fred worked on exploring applications of visual analytics in deep learning. Emily explored metrics to detect bias during data exploration. Hannah returns from her summer at IBM [...]
Welcome to the new Visual Analytics lab website!