**Meet the Instructor**

Dr. Ginensky has a M.S. and a Ph.D. in mathematics, both from the University of Chicago. He is currently teaching at the University of Chicago in their Master in Predictive Analytics Program. Prior to 2008, Adam worked as a market maker at the Chicago Mercantile Exchange and was involved in the mathematics of option pricing, but primarily was a floor trader. He has gave a number of talks in the University of Chicago Mathematical Finance Program. After 2008 he worked as a quantitative analyst for a proprietary trading company where he used Matlab and R (as well as SQL and various extensions) to perform data mining and statistical analysis of various financial data sets. His responsibilities included analyzing large (tick) data sets, performing statistical modeling of various time series of trading data, and writing the software packages to implement these goals. It was at this point that he became interested in applying statistics in other fields as well as finance. His current interests include both supervised and unsupervised learning as well as time series analysis. He is also currently exploring applications of algebraic geometry to statistics (algebraic statistics). In all aspects of his research and activity, he is fascinated by the practical applications of the theoretical ideas.