David Guy Brizan
Department of Computer Science
University of California San Francisco
About Professor David Guy Brizan
The University of San Francisco (USF) is a premier private Jesuit institution renowned for its commitment to social justice and academic excellence within a vibrant, urban setting. The Department of Computer Science at USF is a dynamic hub for innovative research and education, distinguished by its focus on the ethical application of technology. The department fosters a collaborative academic environment where faculty and students tackle complex computational challenges, preparing graduates to become leaders in the tech industry. It is within this forward-thinking context that Associate Professor David Guy Brizan contributes his expertise, advancing the department's strengths in data-driven and human-centric computing.
🧬Research Focus
Professor Brizan’s research program operates at the critical intersection of natural language processing, speech processing, and machine learning. His work investigates how linguistic patterns, keystroke dynamics, and interaction data reveal personal, cultural, and demographic information. By applying advanced computational linguistics and database techniques to model demographic inference and human–computer interaction, his research seeks to create more accurate, adaptive, and inclusive language technologies. This focus has significant real-world applications, from developing fairer speech recognition systems and secure biometric authentication to building intelligent interfaces that better understand and respond to diverse human behaviors.
🎓Student Fit & Career
Graduate students with a strong foundation in machine learning, an interest in linguistic data, and a passion for human-centered technology will find an ideal academic mentor in Professor Brizan. Successful PhD students and graduate researchers in his lab typically possess curiosity about the societal implications of their work and skills in areas like algorithm design or statistical modeling. This rigorous graduate research prepares students for impactful careers in both industry and academia, including roles in AI research, computational linguistics, user experience engineering, and data science, all underpinned by a commitment to ethical innovation.
Research Areas
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