Manos Athanassoulis is an Associate Professor of Computer Science at Boston University, Director and Founder of the BU Data-intensive Systems and Computing Laboratory, and co-director of the BU Massive Data Algorithms and Systems Group. He also spent a summer as a Visiting Faculty at Meta. His research is in the area of data management, focusing on building data systems that efficiently exploit modern hardware (computing units, storage, and memories), are deployed in the cloud, and can adapt to the workload both at setup time and dynamically, at runtime. Before joining Boston University, Manos was a postdoc at Harvard University. Earlier, he obtained his PhD from EPFL, Switzerland, and spent one summer at IBM Research, Watson. Manos’ work has been recognized by awards like “Best of SIGMOD” in 2016, “Best of VLDB” in 2010 and 2017, “Most Reproducible Paper” at SIGMOD in 2017, "Best Demo" for VLDB 2023, and "Distinguished PC Member" for SIGMOD 2018, 2023, 2024, 2025 and EDBT 2025, and has been supported by multiple NSF grants including an NSF CRII and an NSF CAREER award, and industry funds including a Facebook Faculty Research Award, multiple Red Hat Research Incubation Awards and gifts from Cisco, Red Hat, and Meta.
He has served or serving as Associate Edtior for ACM SIGMOD Record, ACM SIGMOD Availability and Reproducibility Co-Chair (2021, 2022, 2023, 2024, 2025), VLDB Ambassador for Industry Relations (2022, 2023, 2024), Industrial Track Co-chair for ICWE 2024, Proceedings Chair for VLDB 2023, Area Chair for ACM SIGMOD 2026, IEEE ICDE 2026, VLDB 2025, and IEEE ICDE 2022, Publicity Chair for VLDB 2022 and IEEE ICDE 2021, and as a PC member on multiple top data management venues.