Hi, I'm Fred Hohman
I'm a Research Scientist at Apple
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.
I received my PhD from Georgia Tech where I worked with Polo Chau and Alex Endert as a member of the Polo Club of Data Science. My research was supported by a NASA Space Technology Research Fellowship.
I have collaborated with designers, developers, and scientists while working at 
Apple, 
Microsoft Research, 
NASA Jet Propulsion Lab, and 
Pacific Northwest National Lab.
Apple, Microsoft Research, NASA Jet Propulsion Lab, and Pacific Northwest National Lab.
Featured Research Publications
Examining interactive article design by synthesizing theory from education, journalism, and visualization
Distill
2020
Scaling deep learning interpretability by visualizing activation and attribution summarizations
TVCG
2020
Featured Interactive Articles
Interactively analyze and learn about our climate’s past, present, and future
2020
Explore the methods data scientists use to visualize high-dimensional data
2018
