Linli Zhou, PhD. is a higher education scholar and Institutional Research Analyst with extensive expertise in student success, data analytics, and the ethical evaluation of emerging technologies. She has presented at national conferences including American Educational Research Association (AERA), Comparative and International Education Society (CIES), Association for Institutional Research (AIR), and North East Association for Institutional Research (NEAIR) and published on student retention and data-informed decision-making.

At Lasell University, she supports program reviews by analyzing retention, enrollment, and student success data. Her work bridges technical modeling with an ethical lens, ensuring predictive analytics and student-focused interventions promote equity, fairness, and well-being.

Recently, she has expanded her research to Artificial Intelligence (AI) ethics in higher education, leading presentations and discussions for institutional researchers as well as AI professionals in Silicon Valley.

This dual expertise in analytics and ethics uniquely qualifies her to guide conversations on how institutional researchers can responsibly navigate
the future of AI.