Dr. Chuan-Ju Wang is a Research Fellow at the Research Center for Information Technology Innovation at Academia Sinica, having earned her Ph.D. in Computer Science and Information Engineering from National Taiwan University in 2011. In recent years, Dr. Wang has focused on financial data analysis, modeling (including unstructured and time-series data), recommendation system algorithms, and information retrieval. Over the past five years, she has participated in numerous top international conferences in information and finance fields, such as ACL, SIGIR, AAAI, and EFMA, and has published several papers. In addition to her academic contributions, Dr. Wang actively collaborates with the industry, maintaining long-term partnerships with KKStream and E.SUN Bank, and recently established a new partnership with NVIDIA. These collaborations not only promote the development of practical applications but also provide students and research assistants with opportunities to engage with real-world data and problems, fostering their innovative thinking and research motivation.

Furthermore, with over a decade of experience in research on unstructured financial information (text), Dr. Wang has accumulated extensive expertise in analyzing, modeling, and developing platforms and annotated datasets for financial reports (in English). Recently, she has focused on applying AI technologies to the field of financial accounting and promoting interdisciplinary collaboration. This research breaks away from traditional financial frameworks, bringing new perspectives and methods to the processing of financial accounting information. Besides participating in numerous seminars and lectures related to financial text analysis, such as speaking at the Financial Supervisory Commission, she has also established a collaboration with the Taiwan Economic Journal (TEJ). This partnership aims to further enhance research and applications in financial information, anticipate advancements in the analysis and handling of Chinese textual data, and develop new (large) language or other machine learning models to assist businesses in upgrading and support scholars in finance and accounting in developing new research topics using AI.