Dr. Yuanyuan Tian is currently a Research Staff Member at IBM Almaden Research Center. She obtained her Ph.D. in computer science from the University of Michigan. Her research interests include HTAP, SQL-on-Hadoop, big data federation, graph analytics platforms, and large-scale systems for machine learning. She has published two books and over 30 articles in top database venues with 3500+ citations. Dr. Tian has served in the editorial board for the new encyclopedia for Big Data, as an Associate Editor for VLDB Journal and PVLDB, and as a PC Chair for VLDB 2021 Demo track, IEEE BigDate 2019 industrial and government track, VLDB 2019 workshop track, ICDE 2017 demo track and CIKM 2013 poster track. She has also served in several NSF panels. Dr. Tian is an ACM Senior Member and an IEEE Senior Member. She is the recipient of the SIGMOD 2019 Research Highlight Award, EDBT 2018 Best Paper Award, the Outstanding Technical Achievement Award from IBM in 2019 and 2016, the Research Division Award from IBM in 2019, and the Distinguished Academic Achievement Award from the University of Michigan in 2008.