Prof. Ronen Feldman

Professor of Data Science

Ronen Feldman is a Full Professor of Internet Studies at the Hebrew University Business School. He is currently Head of the Data Science Department, and a member of the Hebrew University Research Students Committee, Admittance Committee, Teaching Committee, Development Committee, Recanati Center, and Asper Center.

Feldman is an expert in text mining and data mining, and his research areas include Information Extraction (IE), algorithmic trading, social networks, natural language processing, extracting meaning and relationships from text, and sentiment analysis from texts.

Prof. Feldman has served as a Senior Lecturer at Bar-Ilan University and as a Visiting Professor at NYU’s Stern Business School. His research has been published in Communications of the ACM, Marketing Science, Review of Accounting Studies, National Bureau of Economic Research, Review of Financial Studies, and Journal of Portfolio Management.

He has won the Abe Gray Prize for Excellence in Research, the Soref Post-Doctoral Fellowship from Bar-Ilan, and the Levi Eshkol Fellowship. Additionally, he has received academic grants from many institutions, including from the INTEL Corporation, MAFAAT, the Israel Science Foundation, the German-Israel Foundation, the Israeli Sciences and Arts Ministry, and the BSF (Bi-national Science Foundation).

Prof. Feldman is the founder of ClearForest Corporation, a Boston-based company specializing in development of text mining tools and applications. His work has been cited in Forbes, Globes, VentureBeat, Traders Magazine, and Calcalist.

Prof. Feldman earned his Ph.D. in Computer Science from Cornell University. He holds an M.Sc. in Computer Science from Bar-Ilan University, and an B.Sc. in Math, Physics, and Computer Science from Hebrew University.

He teaches the courses Text Mining for Business Applications and Data Science for Finance, in addition to a seminar in Data Science. He has published the books The Text Mining Handbook (Cambridge University Press) and Language, Culture, Computation: Computing Theory and Technology (Springer).