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Jianqing Fan is a leading researcher in the field of Operations Research and Financial Engineering at Princeton University. His work predominantly focuses on high-dimensional statistics, exploring the intricacies of data in various domains such as financial econometrics and computational biology. He has made significant contributions to graphical network modeling, which plays a vital role in understanding complex data structures. Furthermore, Fan's research encompasses portfolio theory and high-frequency finance, critically analyzing financial markets' behavior over short time frames. His expertise in time series analysis has led to innovative methodologies that enhance predictive capabilities in financial models.
GRE scores are not accepted. Ph.D. is the primary degree; students are not required to hold an M.S.E. prior to admission.