Hi, I'm Fred Hohman

I’m a PhD candidate in the College of Computing at Georgia Tech.
I research how to enable machine learning interpretability at scale and for everyone, by designing and developing interactive interfaces to help people confidently understand data-driven systems. Besides building tools, I also create data visualizations and write interactive articles to simply communicate complex ideas.
At Georgia Tech I work with Polo Chau and Alex Endert as a member of the Polo Club of Data Science.
I have collaborated with designers, developers, and scientists while working at Apple, Microsoft Research, NASA Jet Propulsion Lab, and Pacific Northwest National Lab.
My research is supported by a NASA Space Technology Research Fellowship.

Featured Research Publications

Examining interactive article design by synthesizing theory from education, journalism, and visualization
Distill 2020
Understanding and visualizing data iteration in machine learning
CHI 2020
Scaling deep learning interpretability by visualizing activation and attribution summarizations
TVCG 2020
A design probe to understand how data scientists understand machine learning models
CHI 2019

Featured Interactive Articles

Interactively analyze and learn about our climate’s past, present, and future
2020
A born-digital magazine showcasing the expository power of the web
2019
Explore the methods data scientists use to visualize high-dimensional data
2018
Riffling from factory order to complete randomness
2018

Everything Else

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