Hello, I'm Fred Hohman
I’m a Ph.D. candidate in the College of Computing at Georgia Tech advised by Polo Chau and Alex Endert.
My research applies a human-centered approach to designing and developing interactive scalable interfaces that help people understand and explain machine learning models. I also write, design, and build explorable explanations and interactive data visualizations to simply communicate complex ideas.
I have worked at 
Apple, 
Microsoft Research, 
NASA Jet Propulsion Lab, and 
Pacific Northwest National Lab.
My research is funded by a NASA Space Technology Research Fellowship.
Featured Research Publications
Scaling Deep Learning Interpretability by Visualizing Activation and Attribution Summarizations
TVCG
2020
Featured Interactive Articles
Explore the methods data scientists use to visualize high-dimensional data
July
2018
Featured Parametric Press Articles
Can we free machine learning models from bias and prejudice?
May
2019
A CERN particle physicist walks us through the history and science of particle physics
May
2019
In Atlanta, a nonprofit seeks to resist housing displacement—but how effective is the project?
May
2019
Everything Else
Including a list of projects, the blog, monthly music playlists, stuff I use, and the archive.