Daniel (Danny) Weitekamp
Postdoc
School of Interactive Computing
Georgia Institute of Technology
weitekamp@gatech.edu
About Me
I am an postdoctoral fellow in the School of Interactive Computing at Georgia Institute of Technology in Christopher MacLellan's Teachable AI Lab (TAIL).
My research focuses on developing neurosymbolic AI systems that can learn and teach like humans do. My work takes a computational approach to studying humanlearning, aimed at building hybrid machine learning and generative AI systems that can efficiently and flexibly learn from the rich forms of natural instruction that arise in human-to-human tutoring. In my theoretical work, I have used these AI systems as computational models of learning to precisely investigate how distinct learning mechanisms cooperatively manifest humans’ rapid learning and misconception formation. I have also investigated methods for testing and refining these computational theories in comparisons of simulated learners with student data. In practical applications, I have used these AI systems as interactively teachable agents that can learn tutoring behavior through bottom-up induction from human instruction, and reliably deliver that adaptive instruction at scale in the form of intelligent tutoring systems.
I completed my PhD in Carnegie Mellon University’s (CMU) Human-Computer Interaction Institute advised by Ken Koedinger. I am currently working as a postdoc under Christopher MacLellan
🎓 I am on the market for faculty positions . 🎓