Anastasia Ailamaki

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Anastasia Ailamaki is a Professor of Computer Sciences at the Ecole Polytechnique Federale de Lausanne (EPFL) in Switzerland and the co-founder of RAW Labs SA, a swiss company developing real-time analytics infrastructures for heterogeneous big data. 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 has received an ERC Consolidator Award (2013), a 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), and ten best-paper awards in database, storage, and computer architecture conferences. She holds a Ph.D. in Computer Science from the University of Wisconsin-Madison in 2000. She is an ACM fellow, an IEEE fellow, the Laureate for the 2018 Nemitsas Prize in Computer Science, and an elected member of the Swiss National Research Council. She has served as a CRA-W mentor, and is a member of the Expert Network of the World Economic Forum. 

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

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

EPFL IC SIN-GE
INN 112 (Bâtiment INN)
Station 14
CH-1015 Lausanne

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

EPFL IC SSC-GE
INR 130 (Bâtiment INR)
Station 14
CH-1015 Lausanne

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

RAW Labs SA
EPFL Innovation Park
Bâtiment I
CH-1015 Lausanne

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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

PhD Programs

Doctoral program in computer and communication sciences

Courses

Introduction to database systems

This course provides a deep understanding of the concepts behind data management systems. It covers fundamental data management topics such as system architecture, data models, query processing and optimization, database design, storage organization, and transaction management.

Database systems

This course is intended for students who want to understand modern large-scale data analysis systems and database systems. It covers a wide range of topics and technologies, and will prepare students to be able to build such systems as well as read and understand recent research publications.