Summary
De Paul is a computer scientist and computational linguist with nearly three decades in academia and nine years of focused industry-style experience building speech-processing software. After retraining from English to computing, he rose to chair and now serves as a professor and visiting scholar developing tools to process daylong toddler recordings and advance automatic speech recognition for atypical language development. His work spans AI, machine learning, cryptography, and computational theory, with research highlights in computational analyses of child speech, power-law behavior in language, and the social impacts of computing. Combining deep humanities training with technical rigor, he brings a rare sensitivity to linguistic nuance when engineering large-scale speech and NLP systems. Based in Spokane, he blends classroom teaching, hands-on software development, and interdisciplinary research that bridges media studies, privacy, and speech technology.
9 years of coding experience
6 years of employment as a software developer
Master's Degree, Computer Science, Master's Degree, Computer Science at Temple University
Master's Degree, English, Master's Degree, English at University of California, Berkeley
Bachelor's Degree, English, Bachelor's Degree, English at Saint Louis University
Doctor of Philosophy (Ph.D.), (Computational) Linguistics, Doctor of Philosophy (Ph.D.), (Computational) Linguistics at The University of New Mexico
English, Italian