Since September 2018, Jakob is a Ph.D. student advised by Prof. Sven Seuken in the Computation and Economics Research Group at the Department of Informatics of the University of Zurich. Jakob received a B.Sc. (2015) and a M.Sc. (2018) in Financial and Actuarial Mathematics from the Technical University of Vienna. Additionally he received a M.Sc. (2018) in Quantitative Finance from the Vienna University of Economics and Business. Besides his studies, Jakob worked as a junior Data Scientist for RBI's Advanced Analytics Team.

Market Design, Machine Learning, Statistical Learning Theory, Financial Mathematics, Auction Theory

1. Variable importance measures in classification and regression methods.
   Jakob Weissteiner. Master's Thesis. Vienna University of Economics and Business, Austria, Sep 2018. pdf (PDF, 1156 KB)
2. Über die Orderbuchmodellierung mit Markovschen Ketten in stetiger Zeit.
   Jakob Weissteiner. Master's Thesis. Technical University of Vienna, Austria, Jan 2018. pdf (PDF, 2136 KB)

CV_042019 (PDF, 314 KB)

• Spring 2019: Head Teaching Assistant for Seminar: Advanced Topics in Economics and Computation
• Fall 2018: Teaching Assistant for Lecture Economics and Computation