Daniele Bianchi

Daniele Bianchi is an Associate Professor at the School of Economics and Finance, Queen Mary Univaersity of London. Previously, he was an Assistant Professor at the Warwick Business School, University of Warwick. He was awarded a Ph.D. by the Department of Finance at Bocconi University in Spring 2014.

His research interests span empirical asset pricing, machine learning and Bayesian econometrics. His work has been presented at conferences organized by the American Economic Association (AEA), the American Finance Association (AFA), the National Bureau of Economic Research (NBER), the Econometric Society, the European Finance Association (EFA), and the Society for Financial Studies (SFS), among others. His main publications include top-tier academic journals such as The Review of Financial Studies, the Journal of Econometrics, the Journal of Business and Economic Statistics and the Journal of Banking and Finance.

Dr Bianchi has been a visiting economist at the Research Division of the Sveriges Riksbank and a visiting scholar at the McCombs School of Business at UT Austin in Texas and the Nova School of Business and Economics in Lisbon. He is currently also the academic director of the MSc in Finance and Machine Learning at Queen Mary, University of London, where he teaches machine learning applications in finance and economics for postgraduate students.