معرفی
Da Chen is a PhD student in Finance and an Associate Lecturer at Lancaster University Management School (LUMS), with expertise in ESG investing, mutual funds, corporate innovations, and factor investment. His doctoral research explores machine learning and textual analysis applications in finance, supervised by Dr. Chelsea Yao and Dr. George Wang.
- Education: BSc in Applied Mathematics (Dongbei University of Finance and Economics), MSc in Quantitative Finance with Distinction (Lancaster University)
Research interests focus on leveraging machine learning and textual analysis to address challenges in ESG, institutional investing, and factor-based strategies. His work bridges computational methods with financial markets, emphasizing data-driven decision-making.
His 2019 publication on low SWaP video cores for MWIR imaging reflects interdisciplinary collaboration in engineering and signal processing, while his recent work remains centered on finance.
- Scientific Awards: Excellent teaching award (2020-2022) for modules AcF602 and AcF701
Da serves as a teaching assistant for AcF701 and AcF602, contributes as a reviewer for the Journal of Business Finance & Accounting, and has participated in 2023 conferences including the FMA (Chicago), Asian Finance (Vietnam), and ASFAAG (Spain).
