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+44 (0)131 651 5320 fintechconf@business-school.ed.ac.uk Business School, 29 Buccleuch Place, Edinburgh, EH8 9JS

Keynote Speakers

Bruno Biais

Professor of Finance, HEC Paris

Bruno Biais holds a PhD in Finance from HEC, received the Paris Bourse dissertation award and the CNRS bronze medal. He taught at Toulouse, Carnegie Mellon, Oxford, LSE, and now HEC. His research on finance, contract theory, and experimental economics is published in Econometrica, Journal of Political Economy (JPE), American Economic Review (AER), Review of Economic Studies, Journal of Finance, Review of Financial Studies (RFS), and Journal of Financial Economics (JFS) .

He is a fellow of the Econometric Society and the Finance Theory Group and has been scientific advisor to the New York Stock Exchange (NYSE). Euronext, European Central Bank, and the Bank of England.,

Sanjiv Das

Santa Clara University

Sanjiv Das is the William and Janice Terry Professor of Finance and Data Science at Santa Clara University's Leavey School of Business. He previously held faculty appointments as Professor at Harvard Business School and UC Berkeley. He holds postgraduate degrees in Finance (MPhil and PhD from New York University), Computer Science (MSc from UC Berkeley), an MBA from the Indian Institute of Management, Ahmedabad, BCom 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 modelling 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).