David is an assistant professor at the University of San Francisco. His research interests are natural language processing, machine learning, and databases — specifically on the personal and cultural/demographic information transmitted during speech and typing. This research may lead to more accurate speech recognition systems.
Prior to joining USF, David was a research assistant in the Speech Lab at Queens College and an instructor at Hunter College. He has previously worked for the City of New York, IBM, United HealthCare, and other public and private institutions. David holds a PhD in computer science from the Graduate Center, City University of New York (CUNY).
- PhD, Computer Science, CUNY Graduate Center (candidate)
- MS Computer Science, San Francisco State University
- BS Computer & Information Science, Brooklyn College
- IT Coordinator, NYC Department of Correction
- Software Engineer, IBM
- Interface Developer, McKesson
- Speech Processing
- Applications of Machine Learning
- Natural Language Processing
- Machine Learning
- Selected Publications
Broad, C., Langone, H., Brizan, D.G. (2018). Candidate Ranking for Maintenance of an Online Dictionary. Language Resources and Evaluation Conference (LREC) 2018
Brizan, D.G., Gallagher, K., Jahangir, A., Brown, T. (2016). Predicting Citation Patterns: Defining and Determining Influence. Scientometrics, 108(1), 183-200, 2016
Brizan, D.G., Goodkind, A. Koch, P., Balagani, K., Phoha, V.V., Rosenberg, A. Utilizing Linguistically-Enhanced Keystroke Dynamics to Predict Typist Cognition and Demographics. International Journal of Human-Computer Studies 82(10), 57–68, 2015