Fangzhou LU is an Assistant Professor of Finance at the HKU Business School, The University of Hong Kong, since 2020. His research focuses on fintech, cryptocurrency, behavioral finance, and China's economic development. He received his academic training at prestigious institutions: PhD and MS in Financial Economics from Massachusetts Institute of Technology (MIT), 2020 BS in Business from New York University, Stern School of Business, 2014 Dr. Lu's research interests encompass Fintech, Cryptocurrency, Behavioral Finance, Entrepreneurial Finance, Household Finance, Emerging Markets, consumption, fiscal stimulus, bond markets, and China's economic development. His work often leverages large datasets from China to examine how technological innovations and government policies impact financial markets and firm behavior, particularly during crises like the COVID-19 pandemic. His recent publications demonstrate a strong trend toward applied research in emerging markets, with significant contributions on SPAC IPOs, government subsidy effectiveness for failing firms, and stock market informativeness in China. These works appear in top finance journals including the Journal of Financial Economics and Journal of Financial and Quantitative Analysis, highlighting his expertise at the intersection of finance, technology, and policy analysis.
The Chinese University of Hong Kong (CUHK)Hong Kong SAR
Prof. Nan Chen is a Professor in the Department of Systems Engineering and Engineering Management at The Chinese University of Hong Kong (CUHK). He holds a PhD from Columbia University (2006) and directs the Bachelor of Engineering in Financial Technology (FinTech) and the Master of Science in Financial Engineering at CUHK-Shenzhen. His research focuses on quantitative finance, systemic risk, Monte Carlo simulation, and reinforcement learning. He has authored over 40 papers in top journals like Operations Research and Review of Financial Studies . Education : BSc and MSc in Probability & Statistics, Peking University (1998–2001) MPhil/PhD in Operations Research, Columbia University (2005–2006) Research Interests : FinTech and quantitative finance Systemic risk modeling and network analysis Reinforcement learning and stochastic control Monte Carlo methods and computational finance Awards & Grants : Best Student Paper Award, INFORMS (2006) Exemplary Teaching Awards (2009, 2017) Over HK$7M in GRF grants (2008–2023) Second Prize, Jiangsu Province Social Science Award (2023) Public Service : Member of Hong Kong's Payment Systems Tribunal and Insurance Appeals Tribunal, and reviewer for major journals like Mathematical Finance and Operations Research . Key Contributions : Pioneered Ito-Taylor expansions for diffusion models, dual methods for stochastic control, and liquidity risk frameworks. Led development of Hong Kong's first FinTech undergraduate program.
Dr. Jian Zhang serves as an Assistant Professor of Finance at the Department of Finance, HKU Business School, The University of Hong Kong, a position he has held since 2020 after previously任教 at Hong Kong Baptist University. His academic credentials include a Ph.D. from the National University of Singapore and a B.S. from the University of Science and Technology of China, establishing his foundation in quantitative finance and economic analysis. His educational background is detailed as follows: Ph.D., National University of Singapore B.S., University of Science and Technology of China Dr. Zhang's research centers on Household Finance, Behavioral Finance, and Financial Institutions, with expanding work in Sustainability and Real Estate. He leverages large-scale administrative datasets from China, Singapore, and India to investigate how policy interventions, environmental stressors, and behavioral biases shape financial decision-making. His studies frequently expose asymmetric consumer responses to tax changes, pollution-induced cognitive impairments in investment behavior, and gender disparities in financial vulnerability, contributing critical insights to both academic literature and policy design. Analysis of his publication trajectory reveals a methodological emphasis on quasi-experimental designs and natural experiments, with increasing focus on sustainability-linked financial behavior since 2020. His work consistently appears in premier journals including Journal of Financial Economics and Review of Economics and Statistics, demonstrating rigorous causal identification through instruments like air quality variations, regulatory reforms, and geopolitical events. The geographic scope has broadened from China-centric studies to multi-country analyses of trust mechanisms in global finance. Dr. Zhang currently serves as an Associate Editor for Journal of Business Research, reflecting his standing in the academic community. While no formal scientific awards are documented in the source material, his publication record in top-tier journals represents significant scholarly recognition. Regarding academic mentorship, the available materials do not specify doctoral students or formal advisees. His research is supported through institutional affiliation without explicit grant details provided. No dedicated laboratories or research teams are mentioned, though his extensive collaborations with scholars like Sumit Agarwal and Massa indicate active research networks. His teaching portfolio includes graduate courses in Household Finance and Behavioral Finance alongside undergraduate Corporate Finance, aligning closely with his research domains.
Marius Hofert serves as Associate Professor of Statistics in the Department of Statistics and Actuarial Science at The University of Hong Kong's School of Computing and Data Science, with office in Room 228 of the Run Run Shaw Building. His research fundamentally addresses statistical dependence structures and computational methodologies for risk assessment. His core research domains include: Copula theory and dependence modeling for complex stochastic systems Advanced Monte Carlo and quasi-random sampling techniques Quantitative risk management frameworks for financial and insurance applications Recent publications demonstrate increasing integration of machine learning with traditional statistical methods, particularly through generative neural networks for dependence modeling. His critical examinations of AI tools like ChatGPT in quantitative contexts reveal methodological pitfalls while exploring new computational frontiers. As Academic Adviser in Risk Management, he mentors PhD candidates with strong mathematical backgrounds. He actively develops open-source statistical software through R packages including copula , nvmix , and qrmtools , maintaining the Quantitative Risk Management tutorial website (qrmtutorial.org).
Dr. Shipeng YAN is an Assistant Professor of Management and Strategy at HKU Business School, The University of Hong Kong. With a sociological orientation, he specializes in ESG issues and political economy from an organization theory perspective. His research has been published in top management journals including Administrative Science Quarterly, Organization Science, and Journal of International Business Studies. He serves as Deputy Editor for Organization & Environment and Senior Editor for Management and Organization Review. Dr. YAN's educational background includes: PhD in Management from IESE Business School Bachelor's in Business Administration (Information Systems) from the University of Hong Kong Dr. YAN's research focuses on the intersection of ESG (Environmental, Social, and Governance) issues, political economy, and organization theory. He examines how institutions shape corporate responsibility, market emergence, and sustainability practices across diverse contexts including global markets, China, and Taiwan. His work explores religious environmentalism, anti-slavery regulation, ESG investing, climate litigation, and corporate non-market strategy, consistently bridging theoretical insights with practical implications for organizations navigating complex institutional environments. His recent publications demonstrate a cohesive research trajectory examining institutional dynamics affecting corporate environmental and social performance, with increasing focus on Chinese firms' international strategies and digital responsibility in aging societies. The work spans methodological approaches including quantitative analysis of large datasets and case-based examinations of emerging organizational forms. Dr. YAN has received several prestigious awards: Best Senior Editor Award, Management and Organization Review (2025, 2024) Emerging Scholar Award, ONE Division, Academy of Management (2023) Dean's Research Excellence Award, College of Business, City University of Hong Kong (2021) Finalist, Outstanding Research Award for Junior Faculty, City University of Hong Kong (2020) IESE Alumni Research Prize for Best Published Paper (2019) As an academic mentor, Dr. YAN emphasizes developing independent scholars while respecting students' boundaries. His service contributions include membership on HKU's Staff Student Consultation Committee, Program Leadership at City University of Hong Kong, and Communications Chair for the Organization and Management Theory Division of the Academy of Management. He has received numerous revision requests from UTD journals, reflecting the high regard for his work in the academic community. Dr. YAN maintains an active research agenda examining critical issues at the intersection of business, society, and the environment, with recent projects analyzing ESG practices in China's wine industry and digital responsibility initiatives for aging populations. His work continues to shape understanding of how organizations navigate complex institutional environments to address sustainability challenges globally.
Prof. Jonathan J. Wylie serves as a Professor at City University of Hong Kong, holding a PhD from King's College, University of Cambridge, UK. His academic trajectory includes a Junior Research Fellowship at King's College, followed by research appointments at Cornell University, Woods Hole Oceanographic Institution, and the University of Toronto prior to his current position. His research expertise spans fluid mechanics , granular materials , suspension mechanics , and mathematical modeling of geophysical systems , with seminal contributions to viscous thread dynamics and coupled partial differential equations. His interdisciplinary work bridges industrial applications with fundamental physics. Analysis of his recent publications reveals dominant research threads in granular flow intermittency , thermal effects in viscous filaments , and mathematical neuroscience . His methodology consistently combines asymptotic analysis with computational modeling to address complex multiphysics problems, demonstrating strong cross-disciplinary collaboration between physics, engineering, and life sciences. His distinguished scientific recognition includes: Junior Research Fellowship from King's College, Cambridge Wylie has secured major research funding from the National Science Foundation (USA), Australian Research Council, and Hong Kong's Research Grant Council. As associate editor of the IMA Journal of Applied Mathematics , he actively shapes scholarly discourse. His extensive publication record in high-impact journals like Journal of Fluid Mechanics and Physical Review E demonstrates sustained research productivity without explicit mention of advisees in available materials. While specific laboratory facilities aren't documented, his international collaborations with institutions across North America, Europe, and Asia indicate participation in global research networks addressing industrially relevant fluid dynamics challenges.
