who am I ?

I am currently serving as a Lecturer in Accounting and Finance and a module leader for Management Accounting at the University of Greenwich. My academic journey and professional career have been defined by a consistent commitment to curriculum innovation, student engagement, and digital transformation in higher education. I joined the University of Greenwich in May 2024, bringing with me a breadth of international teaching and research experience acquired from roles in various UK and overseas institutions.

I hold a PhD in Accounting, Finance, and Economics from the University of Portsmouth, where my research focused on the intersection of digital technology and corporate disclosure. Specifically, I developed novel Python code to conduct sentiment analysis on firm narrative risk disclosures by extracting and analyzing data from both social media platforms (e.g., Twitter) and annual reports. My research integrated machine learning techniques and natural language processing (NLP), reflecting my broader interest in the use of digital tools for data driven decision making and financial communication. In addition to my doctoral qualifications, I possess two MSc degrees: one in Finance from Zhejiang University in China and another in Accounting and Financial Management from Bath Business School in the UK. These multidisciplinary academic experiences have equipped me with strong analytical, financial modeling, and pedagogical capabilities, which I now apply to both teaching and research.

At the University of Greenwich, I lead and contribute to several undergraduate and postgraduate modules, including ACCO1084: Introduction to Management Accounting and ACCO1117: Personal and Professional Development (PPD). My responsibilities also extend to second year curriculum development, particularly through my leadership in designing and delivering the newly introduced module, Business Analytics I, which forms a core part of the Accounting and Business Analytics degree programme. This module emphasizes practical, descriptive analytics through hands on work with tools such as Microsoft Excel, Bloomberg Terminal, STATA, and Qlik, as well as the creation and presentation of dashboards to support evidence based business decisions. My teaching philosophy is rooted in the integration of Technology Enhanced Learning (TEL) to create inclusive, engaging, and accessible learning experiences. I work with diverse student cohorts of around 30–35 students per class, and I actively promote group diversity in terms of gender, age, and academic background to enrich classroom discussions and collaborative learning. As a personal tutor, I provide tailored academic and pastoral support, assist students with CV and cover letter development, and prepare them for career fairs such as the annual Greenwich Job Fair.

In my modules, I incorporate interactive platforms like Mentimeter for live feedback and engagement, use Bloomberg to guide students in obtaining real time financial data, and support their development of statistical and business modeling skills with STATA and Excel. I also encourage the use of Qlik for data visualization, aiming to bridge the gap between theoretical concepts and practical application. My commitment to digital inclusivity is aligned with my broader goal of preparing students for the evolving demands of the labor market by equipping them with relevant digital and analytical competencies.