My research broadly centers around machine intelligence for human intelligence, with applications to (human) learning, productivity, and creativity. I am also generally interested in natural language processing, generative models, and human-computer interaction. Previously, I obtained my Ph.D. (2023), M.S. (2020), and B.S. (2016), all in Electrical and Computer Engineering at Rice University, advised by Rich Baraniuk. I was named a Rising Star in Data Science and was a grand prize winner of the NAEP reading automated scoring challenge. For more information, please see my personal website and Google Scholar profile.

Academic collaborations are always welcome; feel free to contact me at jackwa at adobe dot com to discuss.