جست‌وجوی استاد و پژوهشگر

Andrew W. Loمشاهده پروفایل

استاد

• Evolutionary Models of Investor Behavior
• Adaptive Markets
• Artificial Intelligence in Financial Technology
• +۲ مورد دیگر

Andrew W. Lo is the Charles E. and Susan T. Harris Professor and a Professor of Finance at the MIT Sloan School of Management. He serves as Director of the Laboratory for Financial Engineering and is a principal investigator at the MIT Computer Science and Artificial Intelligence Laboratory (CSAIL). His academic affiliations include the American Finance Association, Academia Sinica, American Academy of Arts and Sciences, Econometric Society, and Society of Financial Econometrics. As an external faculty member at the Santa Fe Institute and research associate at the National Bureau of Economic Research, Lo bridges finance, AI, and healthcare. BA in Economics, Yale University AM and PhD in Economics, Harvard University His research focuses on evolutionary models of investor behavior , AI in financial technology , healthcare finance , and impact investing . Recent work includes adaptive market frameworks, AI-driven financial advice systems, and statistical tools for clinical trial prediction. His 2025 articles explore applications of Bayesian analysis in healthcare, endowment risk management, and market innovation dynamics. Lo has received prestigious awards including the Guggenheim Fellowship , TIME 100 recognition, and multiple teaching and research honors. He co-founded asset management and biotech companies and serves on healthcare organization boards. MIT Sloan Executive Education courses highlight his leadership in AI and machine learning for business applications.

Shaun Bondمشاهده پروفایل

استاد

• Real Estate Finance
• Financial Economics
• Investment and Risk Management
• +۵ مورد دیگر

Professor Shaun Bond is the Frank Finn Professor of Finance at the UQ Business School, University of Queensland. He has held prior positions as the West Shell Professor of Real Estate at the University of Cincinnati (Director of the UC Real Estate Center) and as a lecturer at the University of Cambridge’s Department of Land Economy. He has also served as a visiting professor at Pennsylvania State University and George Washington University. Education: PhD and MPhil in Economics from the University of Cambridge; Bachelor of Economics (First Class Honours) from the University of Queensland. Research Interests: Real estate finance, financial economics, investment and risk management, and financial econometrics. Publications: Over 33 works including 28 journal articles, 2 book chapters, and 2 conference publications, focusing on real estate markets, financial forecasting, and ESG integration. Funding: Current Macoun Research Scholar Program (2021–2025); recent grants from Queensland Government and QIC Limited for short-term rental regulation and investment management research. Supervision: Available for PhD supervision in real estate asset pricing and financial market sentiment.

• Portfolio Management
• Fixed Income
• Sustainable Investing
• +۴ مورد دیگر

Marielle De Jong is an Associate Professor at Grenoble Ecole de Management, serving as the Academic Director of the USA DBA program. Her expertise spans portfolio management, fixed income, and sustainable investing, with a focus on bond portfolio construction and liquidity scoring. MSc in Econometrics from Erasmus University of Rotterdam MSc in Operational Research from Cambridge University PhD in Finance from the University of Aix-Marseille Defended HDR in 2022 Her research integrates quantitative finance with sustainability, addressing topics like ESG investing, derivatives in asset management, and risk modeling. She has extensive industry experience in investment management, notably with HSBC Sinopia and Amundi, where she led fixed-income quant research teams. Marielle's publications highlight trends in bond risk assessment, CDS applications, and green finance. She is Editor-in-Chief of the Journal of Asset Management, emphasizing rigorous quantitative methodologies and sustainable investment frameworks.

Mark A. Wolfsonمشاهده پروفایل

استاد مدعو

• Accounting
• Finance
• Taxation and Business Strategy
• +۴ مورد دیگر

Mark A. Wolfson is an Adjunct Professor at Stanford University’s Stanford Graduate School of Business, where he has served since 1977. He previously held the Dean Witter Professor title and served as Associate Dean and Acting Dean. His academic roles include teaching at Harvard Business School (1988–1989) and the University of Chicago (1981–1982), and visiting scholar positions at MIT Sloan School of Management and Stanford’s Hoover Institution. He is also a Research Associate at the National Bureau of Economic Research since 1988. Education: PhD in Accounting, University of Texas at Austin, 1977 Master of Accounting Science (MAS), 1974 Bachelor of Science (BS), University of Illinois, 1973 Research Interests: Dr. Wolfson focuses on financial structures, incentive arrangements in organizations, taxation’s role in business strategy, and the impact of information disclosures on financial markets. His recent work explores philanthropy ecosystems, private equity dynamics, and strategic impact investing. He emphasizes interdisciplinary approaches linking accounting, finance, and public policy. Key Awards and Recognition: Wildman Medal (1991) Notable Contribution Award to Accounting Literature (1989, 1992) Distinguished Teaching Award from Stanford GSB (1990) Pomerance Prize (CBOE) for Options Research (1981) Professional Activities: Founder and Managing Partner of Jasper Ridge Partners Senior Advisor to Oak Hill Capital Management Advisor to the William and Flora Hewlett Foundation’s Investment Committee Board Member of Stanford’s Knight-Hennessy Scholars Program Executive Committee Member of the Stanford Institute for Economic Policy Research He advises on philanthropy and investment management, blending academic rigor with real-world finance practice. His work bridges theoretical frameworks and practical applications in capital markets and nonprofit strategy.

• Construction Safety and Risk Management
• Project Risk Assessment
• Railway and Highway Safety
• +۳ مورد دیگر

Professor Min An is a Professor of Construction and Risk Management at the University of Salford, leading the Infrastructure Research Group within the School of Science, Engineering & Environment. He holds an honorary professorship at two overseas universities (China and Portugal) and serves on the editorial boards of 12 international journals. With over 40 years of experience, his career spans academic roles at Heriot-Watt University, Coventry University, and the University of Birmingham, alongside industry roles as a civil engineer and researcher. His research focuses on safety and risk management in construction, transportation systems, and energy sectors, with over 200 publications. Key areas include railway and highway safety, offshore oil & gas risk assessment, and nuclear reliability management. He has secured funding from EPSRC, EU, DfT, and industry partners, leading 20+ projects. Notable achievements include developing methodologies for infrastructure safety and maintaining collaborations with 30+ industrial partners. Professor An has supervised 30 PhD students and over 280 postgraduate projects, contributing to industry workshops and best practices. Awards include multiple science technology prizes and conference best paper/keynote recognitions. His teaching spans risk management, construction safety, and project management across MSc programs.

Yvette C. Latundeمشاهده پروفایل

استاد

• Family Engagement
• Equity in Education
• Neurodiversity
• +۷ مورد دیگر

Yvette C. Latunde is a Professor of Organizational Leadership at the University of La Verne's LaFetra College of Education. She previously served as Director of the Center for Educational Equity and Intercultural Research (CEEIR). Her work focuses on equity-centered leadership, family-school-community partnerships, and leveraging Black family resources to support student success. Latunde is a leading voice in culturally responsive education, having authored influential books like Equitable by Design and Research in Parental Involvement . Her research interests include inclusion, transformative leadership, neurodiversity, and dismantling inequities through culturally proficient frameworks. Latunde has published extensively on African American family engagement, dual capacity-building models, and faith-based interventions in education. She co-founded the Black Parent Advisory Councils to strengthen community-school ties. Latunde's scholarship emphasizes hospitality theory in school inclusion and values-based leadership practices for marginalized groups. Her work bridges academic research with practical strategies for educators, policymakers, and community leaders. She holds a Doctorate in Education (EdD) and has over two decades of experience in K-12 and higher education settings. Her advisory roles include serving on the Lewis Center for Entrepreneurship Advisory Board. Latunde’s research has been featured in Frontiers in Education , Journal of Negro Education , and Journal of Multicultural Education , reflecting her interdisciplinary approach to social justice in education.

Ying Zhuمشاهده پروفایل

دانشیار

• Digital Marketing
• Consumer Behavior
• Marketing Analytics
• +۵ مورد دیگر

Dr. Ying Zhu is an Associate Professor in the Department of Marketing and Consumer Studies at the Lang School of Business and Economics, University of Guelph. She holds a Ph.D. in Marketing from Texas A&M University, alongside master’s degrees in Computer Science (Minzu University, China) and Management (University of Lethbridge, Canada). Previously, she served as an Associate Professor at UBC Okanagan. Her research focuses on digital marketing, consumer behavior, marketing analytics, and the impact of technology (e.g., AI, Metaverse) on consumer decisions. She has published 19 peer-reviewed articles since 2017, many in top-tier journals like American Psychologist and European Journal of Marketing . Her work explores themes such as brand extension strategies, digital advertising effectiveness, and sustainability initiatives. Dr. Zhu has received significant funding through SSHRC grants and has been recognized for her teaching excellence, including the Golden Apple Award. She actively advises graduate students and volunteers with community organizations like the Kelowna Museums Society. Her research on smartphone-induced consumer behavior has garnered media attention in outlets like Time Magazine , Global News , and Science Daily .

• Finance
• Quantitative Finance
• Risk Management
• +۳ مورد دیگر

Frédéric Vrins is a Professor at the Louvain School of Management (LSM) , UCLouvain , affiliated with the Louvain Institute of Data Analysis and Modeling in economics and statistics (LIDAM) and Louvain Finance (LFIN). His work bridges theoretical and applied finance, with a focus on risk modeling, portfolio optimization, and machine learning applications. His research interests include: Quantitative Finance: Derivatives pricing, stochastic processes, and model calibration. Risk Management: Credit concentration risk, recovery rates, and wrong-way risk in financial markets. Portfolio Optimization: Mean-variance strategies, diversification metrics, and robustness under parameter uncertainty. Machine Learning in Finance: Applications to recovery rate prediction and option pricing frameworks. Recent publications highlight trends in: Credit risk modeling for Collateralized Loan Obligations (CLOs) and consumer credit. Machine learning integration in derivatives pricing and portfolio construction. Stochastic methods for Brownian bridges, CDS spreads, and recovery rates. Empirical studies on Loan-to-Value policies and business cycle impacts. Affiliations and locations: Louvain School of Management (LSM) - Building B, Chaussée de Binche 151, 7000 Mons Louvain Finance (LFIN) - Traverse d'Esope 1, 1348 Louvain-la-Neuve Louvain School of Management (LSM) - BATA Building, Chaussée de Binche 151, 7000 Mons

David T. Robinsonمشاهده پروفایل

استاد

• Private Equity
• Venture Capital
• Entrepreneurial Finance
• +۶ مورد دیگر

David T. Robinson is the James and Gail Vander Weide Distinguished Professor at Duke University’s Fuqua School of Business, serving as Research Director of Duke's Innovation and Entrepreneurship Initiative. He holds an honorary doctorate from the Stockholm School of Economics and is a Research Associate at the National Bureau of Economic Research (NBER). His academic journey includes a PhD and MBA from the University of Chicago, an M.S. from the London School of Economics, and a B.A. from the University of North Carolina at Chapel Hill. His research focuses on private equity, venture capital, entrepreneurial finance, and the intersections of innovation, climate policy, and financial literacy. Key contributions include analyses of racial disparities in entrepreneurship financing, the environmental impacts of credit policies, and the governance of strategic alliances. Robinson has advised entities like the Swedish House of Finance and the Private Equity Research Council. Education: PhD & MBA, University of Chicago (2001) MSc, London School of Economics (1993) BA, University of North Carolina at Chapel Hill (1992) Honorary Doctorate, Stockholm School of Economics Professional Roles: Current: Core Faculty in Innovation & Entrepreneurship at Duke Past: Professor of Finance at Columbia University Visiting Professorships at SSE (Stockholm School of Economics) His recent publications explore topics such as minority entrepreneurship barriers, liquidity dynamics in private equity, and the environmental costs of easy credit. He has secured grants from institutions like the National Science Foundation and the Ewing Marion Kauffman Foundation.

David Hartzellمشاهده پروفایل

استاد

• Real Estate Finance
• Private Equity
• Real Estate Investment Strategies
• +۳ مورد دیگر

David Hartzell is the Steven D. Bell and Leonard W. Wood Distinguished Professor of Finance at the Kenan-Flagler Business School, University of North Carolina at Chapel Hill. He specializes in real estate finance, private equity, and institutional investment strategies. As director of the Leonard W. Wood Center for Real Estate Studies, he oversees academic and practical initiatives in real estate education and research. He advises the UNC Real Estate Investment Fund, a student-managed private equity fund, and holds board roles at Highwoods Properties and multiple academic and corporate entities. Educational Background: PhD from UNC-Chapel Hill; MA and BS from University of Delaware His research focuses on global real estate investment strategies, portfolio construction, and the performance of real estate private equity. He co-authored Global Property Investment: Strategies, Structures, Decisions , widely adopted in academic curricula. His work bridges academic research and industry practices, with extensive consulting experience for firms like Heitman Capital Management and Salomon Brothers Inc. Key contributions include analyzing real estate volatility in global markets (e.g., Hong Kong), financial flexibility in REITs, and the role of mezzanine finance in commercial real estate. His articles span topics from beta asymmetries to land-use regulations in metropolitan areas. Professional Roles: Board member at Highwoods Properties, AREUEA president (2000), former associate dean for MBA Programs He leads the Real Estate Program at Kenan-Flagler, emphasizing hands-on learning through student funds and industry collaborations.

Michael Weyrichمشاهده پروفایل

استاد

• Industrial Automation
• Digital Twins
• Large Language Models (LLMs)
• +۷ مورد دیگر

Prof. Michael Weyrich is a faculty member at the Institute of Industrial Automation and Software Engineering (IAS) within the University of Stuttgart , leading the Cluster of Excellence IntCDC . His academic rank is Professor, and he focuses on Industrial Automation , Digital Twins , and Large Language Models (LLMs) for manufacturing and automotive systems. His research explores integrating LLMs into industrial automation for adaptive control, cloud offloading of vehicle functions, and semantic interoperability via Asset Administration Shells . He investigates modular production architectures , connected vehicle systems , and synthetic data generation for autonomous machinery. Recent publications highlight LLM-driven production planning , dynamic sensor calibration , and machine learning for fault detection in electric vehicle powertrains. His work emphasizes real-time data modeling and flexible microservice orchestration .

Ivan Guoمشاهده پروفایل

دانشیار

• Mathematical Finance
• Optimal Transport
• Stochastic Control
• +۳ مورد دیگر

Associate Professor Ivan Guo is a faculty member at Monash University's School of Mathematics, where he leads research in mathematical finance and stochastic modeling. He obtained his PhD in Mathematics from the University of Sydney in 2014 and currently accepts PhD students. His work bridges theoretical mathematics and practical financial applications, with active projects spanning 2022-2026. Research Focus Dr. Guo's research centers on three interconnected areas: Optimal Transport Applications : Developing transport-based methods for financial model calibration and derivatives pricing Market Microstructure : Analyzing market-making strategies, liquidity, and high-frequency trading dynamics Sustainable Finance : Modeling green investment impacts and energy market transitions using game-theoretic approaches Active Projects Can green investors drive transition to a low-emission economy? (2022-2026) Integrating energy storage into electricity markets (2022-2024) Data61 CRP #46 - Risklab mathematical sciences (2020-2023) Efficient computational techniques for econophysics (2019-2021) The role of liquidity in financial markets (2017-2020) His research consistently addresses model uncertainty, volatility dynamics, and computational methods across 18+ publications since 2012.

Guofu Zhouمشاهده پروفایل

استاد

• Empirical Asset Pricing
• Machine Learning in Finance
• Financial Economics
• +۱۰ مورد دیگر

Guofu Zhou , the Frederick Bierman & James E. Spears Professor of Finance at Washington University's Olin Business School , has been a faculty member since 1990. His academic career includes multiple Reid Teaching Awards (2020, 2019, 2018, 2014, 2010) Best Paper Awards (Institute for Quantitative Investment Research 2019, Chinese Finance Association 2010, Inquire UK/Europe 2019 & 2024) and affiliations with journals like the Journal of Financial Economics and Management Science . Education: PhD, Duke University (1990) MA, Duke University (1987) MS, Academia Sinica (1985) BS, Chengdu University of Technology (1982) His research bridges empirical asset pricing and applied AI/machine learning , with a focus on market efficiency anomaly exploitation Bayesian inference option pricing Chinese financial markets behavioral finance He has contributed to understanding equity risk premium predictability, technical analysis, and portfolio optimization techniques. Key trends in his Journal of Financial Economics , Journal of Finance , and Review of Financial Studies publications include machine learning applications in asset pricing , anomaly-market linkages , and fear sentiment in Treasury markets . Recent work with ChatGPT explores textual analysis of earnings calls. Scientific Awards: Best Paper Award, Institute for Quantitative Investment Research (2019) Finalist for Crowell Memorial Prize (2024) Led multiple Best Paper Awards at conferences like FMA and SIF Contact: zhou@wustl.edu | Office: Simon Hall Room 207

Nikolaus Hautschمشاهده پروفایل

استاد

• Econometrics
• Finance
• Market Microstructure
• +۳ مورد دیگر

Nikolaus Hautsch is a full Professor at the Faculty of Economics, Institute of Statistics and Operations Research. His work focuses on econometrics, finance, and high-frequency data analysis. Research Interests : Market microstructure, volatility modeling, transaction costs, systemic risk, and machine learning applications in finance. Publication Trends (2025–2018): 2025: High-dimensional portfolio optimization, dynamic systemic risk 2024: Blockchain asset arbitrage, DeFi, polarization metrics, jump detection 2023–2022: Microstructural noise, volatility forecasting, neural networks Scientific Awards : Fellow of the Society for Financial Econometrics (2014) Projects : Artificial Intelligence in Rowing (2022–2025) Vienna Graduate School of Finance (2018–2022) Risk management of CCPs

• Asset Pricing
• Investment Strategies
• Portfolio Management
• +۴ مورد دیگر

Adam Zaremba is an Associate Professor in the Finance & Accounting department at MBS. His expertise spans asset pricing, investment strategies, portfolio management, international finance, and capital allocation. Prior to joining MBS in 2020, he was affiliated with the University of Dubai (UAE) for three years. Education: PhD in Finance from Poznan University of Economics and Business (2012) His research integrates artificial intelligence with financial markets, focusing on factor investing, cryptocurrency dynamics, ESG strategies, and climate finance. Recent work includes machine learning applications in factor return prediction, cross-sectional cryptocurrency interactions, and non-standard errors in crypto analytics. Themes in his publications highlight advancements in momentum investing , capital allocation , and risk modeling across traditional and emerging markets. He has contributed to journals like the Journal of Finance , Journal of Financial Economics , and Review of Finance .