Lydia Li Joins Cal State Fullerton Faculty

The new professor brings expertise in computer information systems to the college of business.

Updated on Oct. 21, 2026 in Language Learning

Lydia Li Joins Cal State Fullerton Faculty

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Lydia Li has joined the faculty at California State University Fullerton, where she is teaching business courses. She holds a Ph.D. in computer information systems from Bentley University.

Why it matters

Her appointment emphasizes the growing integration of advanced technology in higher education curricula. This shift prepares students for a business landscape that is increasingly reliant on machine learning and human expertise.

Lydia Li holds a Ph.D. in computer information systems from Bentley University. She is currently teaching ISDS 210 and ISDS 310, focusing on data interpretation to solve complex business problems.

The players

Lydia Li

She is a professor at California State University Fullerton who holds a Ph.D. from Bentley University.

California State University Fullerton

This public university in California provides higher education and houses the College of Business and Economics.

Bentley University

This is a private university focused on business and technology where Lydia Li earned her doctorate.

The details

Professor Li incorporates generative AI and large language models into her business coursework at the College of Business and Economics. Her instruction challenges students to utilize these tools to analyze data and address practical corporate issues.

In the fall of 2026, Lydia Li is teaching ISDS 210 and ISDS 310.

Culture Shift

The integration of generative AI into university classrooms mirrors a larger societal shift toward embedding machine learning in professional development. This move positions institutions like Cal State Fullerton to align academic training with the evolving demands of the digital economy.

Students at Cal State Fullerton gain access to curriculum specifically focused on the practical application of generative AI in business. This coursework prepares them to navigate the intersection of machine learning and human decision-making in their future careers.

The takeaway

Li demonstrates that balancing high-level technical skills with data-driven problem solving is essential for business students. Aspiring professionals can benefit by exploring how emerging AI models can supplement traditional analytical workflows.