Fred Hohman is a Research Scientist at Apple.
He researches 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, he also creates data visualizations and writes interactive articles to simply communicate complex ideas.
He received his Ph.D. from Georgia Tech where he worked with Polo Chau and Alex Endert. He won the NASA Space Technology Research Fellowship, a Microsoft AI for Earth Award for using AI to improve sustainability, and the President’s Fellowship for top incoming PhD students. He has also won awards at top conferences such as ACM CHI, ACM KDD, IEEE VIS, and ACM SIGMOD/PODS. He received his B.S. in mathematics and physics.