Charles teaches people to build data, ML, and AI applications. He got his PhD from the University of California, Berkeley, in 2020 for work on the geometry of neural network optimization. He has since worked as an educator and evangelist for neural network applications at Weights & Biases, Full Stack Deep Learning, and now Modal Labs.