Instructors

Peter Gruber has PhDs in financial economics and particle physics. He is a Senior Scientist and Lecturer at the Università della Svizzera italiana (USI) in Lugano. Before this, he has done research in neutrino physics at CERN. His current research interests are asset pricing, blockchain economics and data science with non‐traditional data sets. Peter has been teaching how to solbr economics and finance problems with the computer since 2005.

Alberto Quaini is a teaching and research assistant in Statistics and Financial Econometrics at the University of Geneva, working with Prof. Fabio Trojani on cutting-edge asset pricing research. He holds a Bachelor in Economics from the Università della Svizzera Italiana and a Master in Statistics from the University of Geneva. His research has been presented at various important Finance and Econometrics conferences in the US, Europe and Asia. Both his teaching and research evolve around asset pricing and statistical methods for high dimensional settings.

Sofonias Korsaye is a 4th year PhD candidate in the Swiss Finance Institute PhD program at the University of Geneva. He holds a Bachelor in Mathematics and a Master in Finance and Banking from University of Rome Tor Vergata. His research interests cover the development of innovative quantitative methods for Asset Pricing and Financial Econometrics. His research employs various computational methods and optimization theories for high-dimensional and infinite-dimensional settings.

Fabio Trojani is a full professor of Finance and Statistics at the University of Geneva, a Senior Chair of the Swiss Finance Institute and an adjunct professor of Finance at University Bocconi in Milan. He has previously been a full professor of Statistics at the Università della Svizzera Italiana and a professor of Finance at the University of St Gallen. He is the director of several research projects of the Swiss National Science foundation and the editor of the Journal of Financial Econometrics. Fabio holds a PhD in Econometrics and Finance from the University of Zurich. His research covers topics in Finance, Econometrics and Statistics, areas in which he is a regular speaker at international conferences and has published widely in, among others, the Journal of Finance, the Review of Financial Studies, Management Science, the Journal of Econometrics and the Journal of the American Statistical Association. Fabio is the president and one of the founders of Alphacruncher AC, a company specialized in data science innovations for research and teaching.

Simon Scheidegger is an assistant professor for advanced data analytics at the Department of Finance, HEC, University of Lausanne. Prior this, we has senior research associate at the University of Zürich (2012-2015), and a visiting fellow at Hoover institution, Stanford University (2015-2017). In addition, he held visiting faculty positions at Department of Economics at Yale University (2018-2019) and at MIT Sloan Finance (2019), and was co-director of the Open Source Economics Laboratory Boot Camp at the Becker Friedman Institute, University of Chicago (2018-2019). He holds a Ph.D. in theoretical physics from the University of Basel. His research is centered around computational finance and economics, where the aim is to design scalable and flexible (machine learning) methods to solve large-scale problems in finance and financial economics. His work appeared in outlets such as Econometrica and SIAM SISC.