Anastasia Ailamaki

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Anastasia Ailamaki is a Professor of Computer and Communication Sciences at the École Polytechnique Fédérale de Lausanne (EPFL), a visiting researcher at Google, and the co-founder and Chair of the Board of Directors of RAW Labs SA, a Swiss company developing systems to analyze heterogeneous big data from multiple sources efficiently. 

Her research interests are in data-intensive systems and applications, and in particular:

(a) in strengthening the interaction between the database software and emerging hardware and I/O devices, and 
(b) in automating data management to support computationally- demanding, data-intensive scientific applications. 

She earned a Ph.D. in Computer Science from the University of Wisconsin-Madison in 2000. She has received the 2019 ACM SIGMOD Edgar F. Codd Innovations Award and the 2020 VLDB Women in Database Research Award. She is also the recipient of an ERC Consolidator Award (2013), the Finmeccanica endowed chair from the Computer Science Department at Carnegie Mellon (2007), a European Young Investigator Award from the European Science Foundation (2007), an Alfred P. Sloan Research Fellowship (2005), an NSF CAREER award (2002), twelve best-paper awards and three Test-of-Time prizes at international scientific conferences. She has received the 2018 Nemitsas Prize in Computer Science by the President of Cyprus and the 2021 ARGO Innovation Award by the President of the Hellenic Republic. She is an ACM fellow, an IEEE fellow, a member of the Academia Europaea, and an elected member of the Swiss, the Belgian, the Greek, and the Cypriot National Research Councils.

EPFL IC IINFCOM DIAS
BC 226 (Bâtiment BC)
Station 14
1015 Lausanne

Web site:  Web site:  https://dias.epfl.ch/

Web site:  Web site:  https://sin.epfl.ch

Web site:  Web site:  https://ssc.epfl.ch

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Administrative data

Fields of expertise

Database management systems, scientific applications, computer architecture 





Publications

Infoscience publications

Teaching & PhD

Teaching

Computer Science

Communication Systems

Courses

Data-intensive systems

This course covers the data management system design concepts using a hands-on approach.

Systems for data management and data science

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.