Konstantin Bauman

Konstantin Bauman is a Research Scientist in the Department of Information, Operations and Management Sciences at the Leonard N. Stern School of Business, NYU. His current research interests include machine learning, recommender systems, technology enhanced learning, and natural language processing. Konstantin received his M.S. in Mathematics from Moscow State Lomonosov University in 2008, his M.S. in Data Mining from Moscow Institute of Physics and Technology in 2009, and his Ph.D. in Geometry and Topology from Mathematical Institute of the Russian Academy of Science in 2012. Before joining NYU, Konstantin worked for five years at the research division of Yandex, working on data mining and machine learning problems.

Denis Savenkov

Denis Savenkov is a Ph.D. student in the Intelligent Information Access Lab of Emory University, working with Prof. Eugene Agichtein. He got his bachelor and masters degree from Tula State University, Russia. After graduation he moved to Moscow and finished Yandex school of Data analysis. Denis worked in Yandex for three years focusing on the query-biased document summarization problem (machine learning, quality measures). Currently his research interests lie in the field of information retrieval and question answering.