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.
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
Scaling deep learning interpretability by visualizing activation and attribution summarizations
Featured Interactive Articles
Can we free machine learning models from bias and prejudice?
Explore the methods data scientists use to visualize high-dimensional data