معرفی
Dr. Rui Ren serves as a Researcher at the Chair of Statistics and Data Science within the Faculty of Business and Economics at the University of Augsburg since January 2025, following prior research roles at IDA Institute Digital Assets (2024) and Humboldt University of Berlin where she held a Marie-Skłodowska-Curie Individual Fellowship (2021-2022).
Her academic credentials include a Ph.D. in Management Science from the University of Chinese Academy of Sciences (2019) and a B.Sc. in Mathematics from Minzu University of China (2013), complemented by a Visiting Ph.D. stint in Statistics at Humboldt University of Berlin (2018-2019).
Rui Ren's research centers on Risk Analytics and Financial Econometrics with specialized expertise in network-based risk modeling for cryptocurrency ecosystems, sentiment-driven market behavior analysis, and high-frequency portfolio risk assessment. Her methodological approach integrates advanced statistical techniques with machine learning to address complex financial system dynamics, particularly in quantifying tail risks and cross-asset correlations.
Her publication trajectory reveals an evolution from traditional market prediction using news sentiment toward sophisticated network analyses of crypto-asset interdependencies, demonstrating consistent innovation in financial risk quantification frameworks like the Financial Risk Meter (FRM).
Her scientific recognition includes the prestigious Marie-Skłodowska-Curie Individual Fellowship and a Best Paper Award at the 2017 IEEE Symposium on Analytics and Risk.
She actively contributes to thesis supervision and research collaboration within Prof. Okhrin's Chair, participating in statistical consulting services and research seminars focused on advancing data science applications in financial systems.
