Nesime Tatbul
Nesime Tatbul

Senior Research Scientist, Intel Labs and MIT

Intel-Google-Microsoft Data Systems and AI Lab (DSAIL)

MIT Data Systems Group

Email: tatbul@csail.mit.edu, Twitter: @tatbul

Short Bio

Nesime Tatbul is a senior research scientist at Intel's Parallel Computing Lab (PCL) and MIT's Computer Science and Artificial Intelligence Lab (CSAIL). Since 2013, she has been Intel's research lead for the Intel Science and Technology Center for Big Data (ISTC-BigData), followed by the Intel-Google-Microsoft Data Systems and AI Lab (DSAIL) based at MIT. Previously, she served on the computer science faculty of ETH Zurich after receiving a Ph.D. degree from Brown University. Her research interests are broadly in large-scale data management systems and modern data-intensive applications. She is most known for her contributions to stream processing, which include the Aurora/Borealis Systems (now TIBCO StreamBase) and the S-Store System (the first streaming OLTP system). Nesime is the recipient of an IBM Faculty Award (2008), two ACM SIGMOD Best Demonstration Awards (2005 and 2019), and an ACM DEBS Grand Challenge Award (2011). She has served on the organization and program committees for various conferences and workshops, including ACM SIGMOD (group leader in 2011, industrial co-chair in 2014), VLDB (demo co-chair in 2019, workshops co-chair in 2020, scalable data science category co-chair in 2021), IEEE ICDE (area chair in 2013), ACM DEBS (program co-chair in 2021), EDBT, CIDR, IJCAI, NeurIPS, ICLR, and WiML (area chair and mentor in 2019 and 2020), and on the editorial boards of the ACM SIGMOD Record and the VLDB Journal. She is an elected member of the VLDB Endowment Board of Trustees (2020-2025).

Research