Zijun Gao

Professor Zijun Gao is recognized for excellence in the field of Data Sciences and Operations, currently serving as an Assistant Professor at the USC Marshall Business School. With a robust academic background, she earned her Ph.D. in Statistics from Stanford University in 2022, where she honed her expertise in statistical methodologies. Following her doctoral studies, she expanded her research horizons as a research associate in Pure Mathematics and Mathematical Statistics at the University of Cambridge from 2022 to 2023. Professor Gao's research interests lie at the intersection of business and healthcare, where she applies her knowledge of machine learning, multiple testing, and causal inference to solve complex problems. Her work is characterized by a commitment to developing innovative methodologies that enhance decision-making processes in these fields. Her contributions have been instrumental in advancing the understanding of how statistical techniques can be applied to real-world challenges. At USC Marshall, Professor Gao is dedicated to fostering a collaborative learning environment, encouraging students to explore the practical applications of data sciences in various industries. Her teaching philosophy emphasizes the importance of critical thinking and analytical skills, preparing students to tackle the dynamic challenges of the modern business landscape. In addition to her academic pursuits, Professor Gao actively engages with the broader research community, contributing to conferences and publications that shape the future of data sciences. Her work continues to inspire both her peers and students, positioning her as a leading figure in the integration of statistical methodologies with practical applications in business and healthcare.