About
I am currently a research scientist at Adobe Research. 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 Richard Baraniuk. I have also worked at Google AI, NVIDIA Research, and Microsoft Research Cambridge as a research intern.
My research broadly centers around machine intelligence for human intelligence, with applications to (human) learning, productivity, and creativity. During PhD, I have contributed to this direction in the context of education by developing new methods for generating educational content and for modeling learners' learning progress. While I continue to work on AI for education, my recent focus has been on developing systems and methods to enable humans to work and interact better with information, in particular documents such as PDFs, in both consumption (e.g., reading) and creation (e.g., writing) scenarios.
At the same time, I am also interested in natural language processing, generative models, and human-computer interaction.
Contact: jackwa at adobe com
News
- Nov 2024: I am co-organizing a workshop on bridging NLP + HCI to be located at EMNLP 2025. Stay tuned for more info!
- Nov 2024: I am co-organizing the iRAISE workshop at AAAI 2024 in Philadelphia, PA, with a focus on responsible innovations of AI for education. See you in Philadelphia!
- Oct 2024: Acrobat AI Assistant made its way to the Times Best Invention of 2024! Grateful to be a part of this journey.
- Mar 2024: One paper accepted at COLM 2024.
- Mar 2024: One paper accepted at NAACL 2024 demo track.