Databases, Web Data Management, Data Provenance
Daniel Deutch is an Associate Professor in the Computer Science Department of Tel Aviv University. His Ph.D. in Computer Science is from Tel Aviv University and he was a postdoctoral fellow at the University of Pennsylvania and INRIA France. His research focuses on advanced database applications and web data management, studying both theoretical and practical aspects of issues such as data provenance, analysis of web applications and data, and dealing with data uncertainty. Daniel’s research has been disseminated by papers in the top conferences and journals on data and web data management, including VLDB, SIGMOD/PODS, WWW, VLDBJ, TODS and others. He has served on the Program Committee of top conferences including VLDB, SIGMOD, PODS and WWW. He has won a number of research awards including the VLDB 2017 best paper award, the 2016 Krill Prize (awarded by the Wolf Foundation) and the 2013-14 Yahoo! Early Career Award. His research was awarded multiple competitive grants by the European Research Council (ERC starting grant), Israeli Science Foundation (ISF, twice), the US-Israel Binational Science Foundation (BSF), the Broadcom Foundation, the Israeli Ministry of Science (MOST), and the Blavatnik Interdisciplinary Cyber Research Institute (ICRC).