Caleb is a Postdoctoral Researcher at Lawrence Berkeley National Laboratory. He is a member of the Machine Learning & Analytics Group within the Scientific Data Division. His research explores visualization for scientific machine learning using topological data analysis. He's developing new ways to visualize high-dimensional information (e.g., loss landscapes) for more explainable and trustworthy AI for science.
He earned his PhD in Biophysics from Stanford University.