معرفی
David Guy Brizan is an Associate Professor at the University of San Francisco, specializing in Natural Language Processing, Machine Learning, and Databases. His research focuses on analyzing personal and cultural/demographic information embedded in speech and typing to enhance speech recognition systems and cybersecurity measures. He holds a PhD in Computer Science from the CUNY Graduate Center, alongside an MS from San Francisco State University and a BS from Brooklyn College.
- Education:
- PhD, Computer Science, CUNY Graduate Center (2018)
- MS, Computer Science, San Francisco State University
- BS, Computer & Information Science, Brooklyn College
Brizan's research explores intersections of linguistics and technology, including keystroke dynamics for user authentication, speech-based demographic prediction, and conversational style analysis. His work has applications in cybersecurity, healthcare diagnostics (e.g., Parkinson’s disease detection via speech), and political discourse analysis. He has published extensively in journals like Scientometrics and conferences such as LREC.
Prior to academia, he worked as an IT Coordinator for NYC’s Department of Correction, a Software Engineer at IBM, and an Interface Developer at McKesson. His industry experience informs his research on practical machine learning solutions.
His advising and grants span collaborations with institutions like the Speech Lab at Queens College, where he previously served as a research assistant. He has no listed awards but is actively involved in interdisciplinary projects linking computational methods to social and medical domains.
