Campbell R. Harvey is a Professor of Finance at Duke University in Durham, North Carolina, and a Research Associate of the National Bureau of Economic Research in Cambridge, Massachusetts. He served as President of the American Finance Association in 2016 and as Editor of the Journal of Finance from 2006-2021. Harvey has also been a visiting scholar at the Board of Governors of the Federal Reserve System. He has published over 150 scholarly articles on topics spanning investment finance, emerging markets, corporate finance, behavioral finance, financial econometrics, and computer science. He was recently named 2020 Quant of the Year and #1 LinkedIn Global Top Voice in 2020 for finance and the economy. Over the past seven years, Professor Harvey has taught Innovation and Cryptoventures, which focuses on decentralized finance and blockchain technology. His book DeFi and the Future of Finance will be published in August 2021 by John Wiley and Sons. He will be launching a four-course learning experience under the same name that will be offered by Coursera in Fall 2021. He recently co-authored a book on DeFi titled "DeFi and the Future of Finance"https://www.amazon.com/DeFi-Future-Finance-Campbell-Harvey/dp/1119836018/ref=sr_1_3
Joseph Simonian is the founder and CIO of Autonomous Investment Technologies LLC, in Newton, MA, which provides AI and machine learning consulting services to the financial industry and builds custom quantitative models for financial firms. Over the last 15 years, Joseph has held senior portfolio management and research positions in several asset management firms, including Natixis Investment Managers, Fidelity, PIMCO, and JP Morgan Asset Management. Joseph is a noted contributor to leading finance journals and a prominent speaker at investment events worldwide. He is currently the co-editor of the Journal of Financial Data Science, the editorial board for The Journal of Portfolio Management, and an advisory board member for the Financial Data Professional Institute. Joseph is the author of over 40 academic publications. Joseph also has vast experience in teaching both in academia and industry. He holds a Ph.D. from the University of California, Santa Barbara, an MA from Columbia University, and a BA from UCLA.
Sanjiv Das is the William and Janice Terry Professor of Finance and Data Science at Santa Clara University's Leavey School of Business, and an Amazon Scholar at AWS. He previously held faculty appointments as Professor at Harvard Business School and UC Berkeley. He holds post-graduate degrees in Finance (M.Phil and Ph.D. from New York University), Computer Science (MS from UC Berkeley), an MBA from the Indian Institute of Management, Ahmedabad, B.Com in Accounting and Economics (University of Bombay, Sydenham College), and is also a qualified Cost and Works Accountant (AICWA). He is a senior editor of The Journal of Investment Management, Associate Editor of Management Science and other academic journals, and is on the Advisory Board of the Journal of Financial Data Science. Prior to being an academic, he worked in the derivatives business in the Asia-Pacific region as a Vice-President at Citibank. His current research interests include: portfolio theory and wealth management ,machine learning, financial networks, derivatives pricing models, the modeling of default risk, systemic risk, and venture capital. He has published over a hundred articles in academic journals, and has won numerous awards for research and teaching. His recent book "Derivatives: Principles and Practice" was published in May 2010 (second edition 2016).
Fahad Saleh is an Associate Professor of Finance and the Nunnenkamp-Cinelli Faculty Fellow at Wake Forest University. His research focuses on economic questions associated with blockchain and has been published in leading academic journals such as Management Science and the Review of Financial Studies. Additionally, his research has received several awards, including a grant from IBM Blockchain and the Western Finance Association's Cubist Systematic Strategies Award. Fahad holds a PhD in Finance from New York University. He also holds graduate and undergraduate degrees, both in Operations Research Engineering, from Columbia University and Cornell University, respectively.