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Zijun Gao is a faculty member at the USC Marshall School of Business specializing in various areas including Causal Inference, Distributional Effect, Statistical Inference, and Data Sciences. With a strong emphasis on empirical research, Dr. Gao applies advanced statistical methods and computational techniques to solve complex problems in business analytics and decision-making processes. Having received recognition for published research and contributions to the field, Dr. Gao is regarded as an influential thought leader in areas concerning data-driven decision-making and statistical foundations in business contexts. As an instructor, Dr. Gao teaches courses related to Applied Business Statistics, focusing on statistical methods for business analysis and necessary practical skills for students to thrive in data-centric roles. Dr. Gao’s interdisciplinary approach incorporates real-world applications, ensuring that academic theories are grounded in practical use cases, preparing students for analytical challenges in various industries.
GRE is NOT required for Master's applicants for 2025-2026.