Find Academic Supervisors

• Finance
• Corporate Finance
• Financial Literacy
• +5 more

Professor Panayiotis Andreou is a Professor in the Business School at Durham University, specializing in Finance. He holds a PhD from the University of Cyprus and previously served as a Research Associate there. His teaching focuses on Derivatives Markets for postgraduate programs and Financial Theory and Corporate Policy at the undergraduate level. His research interests span corporate finance, financial literacy, stock price crashes, and the application of artificial neural networks in financial modeling. He has published extensively in journals like the Journal of Corporate Finance , Cambridge Journal of Economics , and British Journal of Management , with a focus on topics such as market orientation, environmental proactivity, and institutional ownership dynamics. Key themes in his work include analyzing how corporate strategies and governance structures influence financial resilience during crises, evaluating the impact of managerial behavior on investment decisions, and exploring the role of financial literacy in consumer banking behavior. His recent studies also investigate the relationship between technological rhetoric and institutional ownership, as well as the resilience of firms during adversity periods. No scientific awards are explicitly listed in the provided text. His advising includes supervision of PhD student Tao Chen. His work bridges theoretical finance with practical applications, leveraging textual analysis and quantitative methods to study corporate behavior and market dynamics. Professor Andreou’s research often intersects with broader economic challenges, such as environmental policy compliance (e.g., EU Emissions Trading System) and the implications of pandemic-driven financial behaviors. He contributes to understanding how firms adapt to regulatory shifts and economic disruptions through strategic and financial mechanisms.

• Applied Probability
• Quantitative Finance
• Credit Risk
• +3 more

Adam Metzler is an Associate Professor in the Department of Mathematics at Wilfrid Laurier University, part of the Faculty of Science. His research focuses on applied probability, quantitative finance, and credit risk. He has contributed to financial well-being analysis, credit risk modeling, and algorithm optimization for portfolio management. His work bridges theoretical stochastic processes with practical applications in finance and public policy. Research interests include financial literacy measurement, credit default modeling, and computational methods for risk estimation. Recent studies explore clustering techniques for financial health segmentation and regulatory capital frameworks for banks. He has published extensively in quantitative finance and operations research journals. His articles demonstrate expertise in combining mathematical rigor with real-world policy implications, such as analyzing criminal trial delays using queueing theory and improving portfolio optimization algorithms. Despite no listed awards, his work reflects sustained academic contribution to financial systems analysis. Teaching and advising activities are not detailed here, though his position suggests involvement in graduate/undergraduate supervision. Office located in LH3039 with contact via ametzler@wlu.ca.

Greg BuchakView profile

Associate Professor

• Fintech
• Banking
• Financial Intermediation
• +5 more

Greg Buchak is an Associate Professor of Finance at Stanford Graduate School of Business with secondary appointments as Center Fellow at Stanford Institute for Economic Policy Research and Faculty Research Fellow at National Bureau of Economic Research. He holds a PhD in Financial Economics and JD from University of Chicago, and BS/BA degrees from University of Pennsylvania. His research focuses on: Industrial organization of financial intermediation Fintech innovation and regulatory impacts Consumer finance and credit markets Political economy of financial regulation Technological disruption in banking His recent publications examine shadow banking systems, fintech entry, mortgage markets, and pandemic economic responses, consistently focusing on regulatory-technology interactions. He has received prestigious awards including Winnick Family Faculty Scholar and AQR Top Finance Graduate Award. He teaches graduate courses in: Advanced Empirical Corporate, Banking and Household Finance Housing and Mortgage Markets Prior to academia, he worked as quantitative portfolio manager at Goldman Sachs and Royal Bank of Canada.

• Corporate Finance
• Asset Pricing
• Financial Intermediation
• +4 more

Adi Sunderam is the Willard Prescott Smith Professor of Corporate Finance at Harvard Business School (HBS), a Research Associate at the National Bureau of Economic Research (NBER), and a Faculty Affiliate of Harvard University's Economics Department. He holds a Ph.D. in Business Economics and an A.B. in Computer Science and Economics, both from Harvard University. His research focuses on corporate finance, asset pricing, and financial intermediation, examining how financial markets' structure influences asset prices and corporate investment decisions. Notable contributions include studies on monetary policy perception, banking evolution, and crisis-era credit programs. Sunderam teaches Finance 2 in the MBA curriculum and Ph.D. courses in Corporate Finance and Empirical Methods. He has served as an advisor in the U.S. Treasury Department (2009–2010) and contributes to policy discussions on financial regulation and crisis response. His work appears in top journals like the Quarterly Journal of Economics , Journal of Finance , and Review of Financial Studies , with several awards recognizing his impactful research. Sunderam also serves as an associate editor for these journals, ensuring academic rigor in financial scholarship. His research bridges theoretical and applied finance, addressing real-world challenges such as systemic risk, market segmentation, and the role of financial institutions in economic stability. Education: Ph.D. and A.B. in Business Economics/Computer Science & Economics from Harvard University. Key Roles: Professor at HBS, NBER Research Associate, Harvard Economics Affiliate. Policy Experience: Special Assistant at U.S. Treasury (2009–2010). Sunderam's awards include the RFS Rising Scholar Prize (2014) and the RFS Michael J. Brennan Best Paper Award (2023). His research frequently addresses contemporary issues like the impact of minority representation in mortgage lending, post-pandemic monetary policy, and the design of business credit programs. He collaborates widely with institutions like the Brookings Institution and IMF, contributing to policy-relevant analyses on banking regulation and financial stability.

Dan ZhuView profile

Professor

• Supply Chain Management
• Data Mining
• Healthcare Analytics
• +5 more

Dan Zhu is a Professor of Supply Chain and Information Systems at Iowa State University. His research spans interdisciplinary areas including data mining, healthcare analytics, fraud detection, software engineering, and information systems. He holds a courtesy professorship and actively contributes to advancing methodologies in supply chain management and technical debt analysis. Research interests focus on leveraging data-driven approaches to solve real-world problems in healthcare, fraud prevention, and software quality. His work integrates machine learning, statistical modeling, and domain-specific knowledge to address challenges in both academic and industrial contexts. Key contributions include studies on hybrid creative learning spaces, imbalanced classification models, and technical debt identification. His publications reflect a strong emphasis on practical applications, such as fraud detection in health insurance and predictive analytics in agile software development. Zhu has no listed awards but maintains an active publication record across journals and conferences. His research often intersects with organizational memory management, recommendation systems, and electronic medical records.

Holli SargeantView profile

Researcher

• Regulating AI
• Law & Technology
• Human Rights
• +3 more

Ms Holli Sargeant is a University Teaching Officer and Researcher at the University of Cambridge, Faculty of Law, with additional research affiliations at the Alan Turing Institute and University of Edinburgh. Her work bridges Law , Artificial Intelligence , and Human Rights , focusing on algorithmic fairness, financial regulation, and technology policy. PhD in Law Candidate (2020-2025) Academic Exchange Scholar at Harvard Law School (2022) Graduate Diploma of Legal Practice (College of Law Australia, 2018) Dual Bachelor's with First Class Honours in Law and International Relations (Bond University, 2014-2017) Her research explores Regulating AI , Machine Learning in Consumer Credit , and Corporate Governance . She leads projects on algorithmic bias, legal taxonomies for AI, and rights-based approaches to technology. Key themes include Financial Regulation , Human Rights , and Algorithmic Auditing , with a focus on ethical and policy implications. Recent publications analyze AI governance mechanisms , discrimination mitigation , and legal dataset quality . She contributes to Corporate Law education as a supervisor for Cambridge's BA Tripos Law (Part II) and Edinburgh's LLM program. Her work has been recognized by the Society of Legal Scholars and supported by the John Monash Scholarship .

Hui ChenView profile

Professor

• Asset Pricing
• Corporate Finance
• Macroeconomics
• +3 more

Hui Chen is the Nomura Professor of Finance and Professor of Finance at the MIT Sloan School of Management. His research focuses on asset pricing, corporate finance, and the interplay between financial frictions and economic outcomes. He holds a BA in Economics and Finance from Zhongshan University, an MS in Mathematics from the University of Michigan, and a PhD in Finance from the University of Chicago. His current research explores financial frictions' impact on corporate decisions and integrates machine learning with economics to enhance model efficiency. Notable projects include studying feedback loops between financial distress and price competition, and developing deep learning-based surrogates for financial models. Chen’s work has been recognized with the Warga Award (2019). His recent articles address topics like circuit breakers' unintended volatility effects and the strategic implications of distressed competition. He is affiliated with the Laboratory for Financial Engineering at MIT. Key contributions span asset pricing theory, corporate finance dynamics, and computational economics, with a focus on bridging theoretical models and real-world financial phenomena.

• Consumer Behavior
• Marketing
• Decision Science
• +4 more

Professor Ellen Garbarino is a faculty member at the University of Sydney's Business School, specializing in consumer behavior, decision science, and behavioral economics. She holds the academic rank of Professor and serves as the Postgraduate Research Coordinator. Her work focuses on topics such as consumer trust, health marketing, policy analysis, and behavioral interventions in areas like gambling, savings, and blood donation systems. Her research has explored the impact of digital payment systems on gambling harm minimization, the design of response systems for consumer wait times, and the psychological drivers of lying and risk aversion. She has also investigated the influence of political ideology on consumer behavior and the effectiveness of message framing in health campaigns. Her interdisciplinary approach bridges marketing, psychology, and public policy. Professor Garbarino has been featured in media outlets like the Sydney Morning Herald, ABC News, and BBC Radio 5, discussing issues ranging from consumer pricing trends to the societal perception of video games and corporate profits. Her grants include studies on blood donation systems and consumer protection in the credit card domain.

• Market Microstructure
• Online Media and Capital Markets
• FinTech and Financial Innovation
• +3 more

Dr. Henry Leung is a Senior Lecturer at the University of Sydney, with expertise in finance, market microstructure, and FinTech. He holds a PhD from the University of Sydney and has worked in financial roles at BT Financial Group and Commonwealth Securities. His research focuses on institutional trading behavior, social media impacts on capital markets, and financial innovation. Leung has published in top-tier journals including the Review of Finance and Journal of Banking and Finance . Notably, his work on social media's influence on small-cap stocks won the runner-up E. Yetton Prize. He serves on committees for the Time Series and Forecasting Research Group (TSAFRG) and Market Microstructure Research Group (MMRG). His teaching includes advanced corporate finance courses (FINC5001, FINC6001) and entrepreneurship finance (FINC6025). Key research contributions include analyzing trading behavior in Helsinki markets and examining the role of platforms like HotCopper in Australia. Awards: Runner-up E. Yetton Prize (2013), Faculty of Economics and Business Research Scholarship Grants: Paddock-to-plate project for native grains (Sydney Institute of Agriculture) Labs/Teams: Member of Sydney Environment Institute and Sydney Institute of Agriculture

Amiyatosh PurnanandamView profile

Professor

• Banking
• FinTech
• Mortgage Markets
• +2 more

Amiyatosh Purnanandam is Professor of Finance at the University of Michigan's Ross School of Business. He holds a Ph.D. from Cornell University, a PGDM from Indian Institute of Management, and a B.Tech from Indian Institute of Technology. His research spans banking, FinTech, mortgage markets, corporate finance, and climate finance, with recent work focusing on digital payments and banking risk detection. Purnanandam's scholarship examines systemic financial risks through innovative quantitative methods. His investigations of the TARP program revealed significant implications for public finance policy, while his work on racial disparities in financial services exposes regulatory gaps. Current projects explore network-based deposit insurance mechanisms and financial system interconnectivity using high-dimensional modeling approaches.

• Healthcare Economics
• Health Insurance
• Financial Policy
• +3 more

Neale Mahoney is the Trione Director of the Stanford Institute for Economic Policy Research (SIEPR) and Professor of Economics at Stanford University. His research focuses on healthcare economics, financial policy, and health insurance markets. He holds a senior fellowship at SIEPR and contributes to applied microeconomic analysis. Key research interests include medical debt relief mechanisms, healthcare cost efficiency, provider incentives, and the intersection of financial systems with healthcare access. His work often employs randomized trials and policy evaluation frameworks. Recent articles highlight trends in medical debt during the pandemic, healthcare employment dynamics, and institutional cost analysis in long-term care. Collaborative studies with Kaiser Permanente and Medicare reform initiatives underscore his applied policy focus. Labs/Teams: Active in SIEPR’s healthcare economics initiatives and interdisciplinary policy research groups.

Seong-Jong JooView profile

Professor

• Logistics and Supply Chain Management
• Operations Research
• Data Envelopment Analysis
• +4 more

Dr. Seong-Jong Joo is a Professor of Logistics and Supply Chain Management in the Department of Operational Sciences at the Air Force Institute of Technology (AFIT). He holds a Ph.D. in Business Administration from Saint Louis University (1995), an MBA from the same institution (1992), and a B.S. in Military Science (Operations Research) from the Korea Air Force Academy (1982). Prior to academia, he served 21 years in the Republic of Korea Air Force as a Supply Officer, retiring as a Lieutenant Colonel with extensive experience in logistics and supply chain operations. Research Interests: Logistics and Supply Chain Optimization Data Envelopment Analysis (DEA) for Performance Benchmarking Operations Research Applications Public Health Policy Analysis Military Logistics and Maintenance Systems Awards and Recognition: School of Business Outstanding Professor Award (2014, 2012) Enterprise Rent-A-Car Student’s Choice Award (2012) Certification of Appreciation for International Program Contributions (2012) Recognition for Student Support (TRiO Program, 2007) Meritorious Mention Award for Best Published Paper in Health Informatics (2014) Grants and Research: Funded studies on Defense Logistics Information Systems (2000–2001) Analysis of Wartime Spare Parts Requirements (2001) Advancements in DEA applications across industries (Healthcare, Banking, Aviation) Labs/Teams: Involved in AFIT’s Operational Sciences Department initiatives, focusing on military logistics and interdisciplinary supply chain research.

Blain PearsonView profile

Assistant Professor

• Personal Financial Planning
• Behavioral Finance
• Retirement Planning
• +4 more

Blain Pearson, Ph.D., CFP, AFC, is an Assistant Professor at the E. Craig Wall Sr. College of Business Administration, Coastal Carolina University. He holds an MBA in Management and a Bachelor of Arts in Trust and Wealth Management from Campbell University, alongside a Ph.D. in Personal Financial Planning from Texas Tech University. His professional experience includes roles as Professor of Practice/Undergraduate Program Director at Kansas State University, Instructor at Texas Tech University, and Financial Advisor at Hilltop Wealth Advisors. Education: Ph.D., Personal Financial Planning, Texas Tech University MBA, Management, Campbell University Bachelor of Arts, Trust and Wealth Management, Campbell University His research focuses on behavioral finance, retirement planning, financial literacy, and consumer financial decision-making. Notable topics include personality traits influencing financial behavior, the impact of student loan debt, and the role of mental accounting in retirement satisfaction. His recent work explores pandemic-era financial stress dynamics and regional comparisons in credit usage patterns. Articles Trends: Pearson’s 2023–2025 publications emphasize the intersection of psychology and finance, analyzing how cognitive biases, personality traits, and external factors shape financial decisions. Key themes include retirement security, debt management, and pandemic-era economic adaptations. Certifications: Certified Financial Planner™ (194124), Accredited Financial Counselor® (42675757), Chartered Financial Analyst Level II Candidate, and multiple securities and insurance licenses (NC-based). Labs/Teams: No specific labs or teams are mentioned in the provided materials.

Hans-Eggert ReimersView profile

Professor

• Macroeconomics
• Econometrics
• Monetary Policy
• +3 more

Hans-Eggert Reimers is a Professor of Business Administration specializing in General Economics/Macroeconomics at the Faculty of Economics of Wismar University of Applied Sciences. He holds a doctoral degree (Dr. sc. pol.) and has been affiliated with the university since 1995. His research focuses on monetary analysis, applied econometrics, and the interplay between economic indicators such as inflation, monetary aggregates, and public debt. He is the editor of the Wismar Discussion Papers and a member of the editorial board for Economies . Education: 1980–1986: Studied Economics at Christian-Albrechts-University of Kiel. 1988–1991: Research Assistant at Kiel’s Institute of Statistics and Econometrics. Research Interests: His work explores macroeconomic dynamics, including inflation forecasting, monetary policy transmission, and panel data analysis. Current projects include analyzing monetary aggregates’ role in euro area inflation and the impact of public investment on private sectors. Publications: Over 30 peer-reviewed articles and book chapters, focusing on topics such as euro area inflation modeling, public-private investment linkages, and unemployment hysteresis. Recent work addresses the shadow economy’s relationship with cash circulation and asset price dynamics. Professional Roles: Visiting Researcher at the ECB (2001–2002). Collaborations with institutions like the DIW Berlin and European Central Bank. Future Work: Ongoing projects include exploring payment innovations’ impact on cash demand and the long-run effects of euro area membership on fiscal policies.

Arnd HuchzermeierView profile

Professor

• Supply Chain Management
• Operations Strategy
• Blockchain Technology
• +3 more

Arnd Huchzermeier is a Professor and Chair of Production Management at WHU – Otto Beisheim School of Management, serving as Founder and Academic Director of the INSEAD-WHU Industrial Excellence Award Europe. His expertise spans supply chain resilience, operations strategy, and blockchain technology. He teaches courses on supply chain resilience, retail analytics, and blockchain-enabled market efficiency. Research Interests: Huchzermeier focuses on integrating sustainable practices into supply chains, leveraging blockchain for transparency, and bridging theoretical and practical gaps in resilience strategies. His work addresses challenges like demand-supply alignment and digital responsibility in SMEs. Awards: Corporate Digital Responsibility Award for SMEs in Rhineland-Palatinate INSEAD-WHU Industrial Excellence Award Key Themes in Publications: Supply chain resilience, blockchain applications, and sustainability. Recent work explores disaster simulation platforms, AI-driven forecasting, and decentralized supply networks. His research emphasizes practical implementation, with case studies like Zalando’s digital supply chain and Fendt’s assembly system innovations. He advocates for integrating bottom-up operational strategies to enhance organizational agility.