Anastasia Ailamaki
Elle - She/her
EPFL IC IINFCOM DIAS
BC 226 (Bâtiment BC)
Station 14
1015 Lausanne
+41 21 693 75 64
Office:
BC 226
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Expertise
Awards
Elected member of the National Academy of Engineering (NAE)
National Academy of Engineering
2026
ERC Advanced Grant “ Transforming Raw Data into Information through Virtualization”
European Commission
2025
ARGO Innovation Award
2021
ACM SIGMOD Test of Time Award
Association for Computing Machinery's (ACM)
2022
VLDB (Very Large Data Bases) Women in Database Research Award
Very Large Data Bases Endowment Inc
2020
Elected member of the Academia Europaea
Academia Europaea
2020
ACM SIGMOD Edgar F. Codd Innovations Award
Association for Computing Machinery's (ACM) Special Interest Group on Management of Data (SIGMOD)
2019
NEMITSAS Prize in Computer Science
Takis and Louki Nemitsas Foundation, Cyprus
2018
Elected Fellow for Institute of Electrical and Electronics Engineers (IEEE)
Institute of Electrical and Electronics Engineers (IEEE)
2018
Elected Fellow of Association for Computing Machinery (ACM)
Association for Computing Machinery's (ACM)
2015
ERC Consolidator grant
European Research Council (ERC)
2013
Finmeccanica endowed chair
Carnegie Mellon
2007
European Young Investigator Award
ESF
2007
Alfred P. Sloan Research Fellowship
Alfred P. Sloan Foundation
2005
NSF Faculty Early CAREER award
National Science Foundation
2002
Infoscience extract
Infoscience
Teaching & PhD
PhD Students
Hamish Nicholson, Anna Herlihy, Yi Jiang, Eleni Zapridou, Georgiy Konstantinovich Lebedev, Ioanna Tsakalidou
Past EPFL PhD Students
Farhan Tauheed, Radu Ioan Stoica, Manos Athanassoulis, Pinar Tözün, Adrian Daniel Popescu, Ioannis Alagiannis, Renata Borovica-Gajic, Danica Porobic, Iraklis Psaroudakis, Manos Karpathiotakis, Matthaios Alexandros Olma, Mirjana Pavlovic, Eleni Tzirita Zacharatou, Georgios Psaropoulos, Utku Sirin, Styliani Asimina Giannakopoulou, Periklis Chrysogelos, Panagiotis Sioulas, Viktor Sanca, Aunn Raza
Past EPFL PhD Students as codirector
Courses
Data-intensive systems
CS-300
This course covers the data management system design concepts using a hands-on approach.
Systems for data management and data science
CS-460
This is a course for students who want to understand modern large-scale data analysis systems and database systems. The course covers fundamental principles for understanding and building systems for managing and analyzing large amounts of data. It covers a wide range of topics and technologies.