His early career focused on artificial intelligence and machine learning, where he developed methods of pattern classification and optimization. During graduate training in computer science and cognitive science at Indiana University, his work focused on developing connectionist models of language acquisition, explaining how pattern-based language learning in children shifts to word-based learning.