Yanlei Diao

Laboratoire d'informatique / Department of Computer Science
Ecole Polytechnique, France

Email:{first-name} dot {last-name}@polytechnique.edu
Phone:+33 1 77 57 80 13
Address: Batiment Alan Turing
1 rue Honore d'Estienne d'Orves
Campus de l'Ecole Polytechnique
91120 Palaiseau, France
Lab Mgr:Jessica Gameiro {first} dot {last}@polytechnique.edu

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Research Interests

Big data analytics and scalable intelligent information systems, with a focus on scalable infrastructure and optimization for cloud data analytics, data stream analytics, explainable anomaly discovery, interactive data exploration, and uncertain data management.

I am a member of the Inria/LIX CEDAR team, which focuses on Rich Data Exploration at Cloud Scale.

I am also an Amazon Scholar, leading the AWS Estel Data & ML Research Team located in La Defense, France.

Recent News

Yanlei Diao joined Amazon AWS in March 2022 and leads the AWS Data & ML Research Team in La Defense. Now we are hiring! See our Applied Scientist position and Data Engineer position. Please join us if you share our vision to bring principled optimization and large-scale machine learning to revolutionize cloud computing and eventually enable big leaps forward in long-term sustainable computing!

Our joint paper with Alibaba Cloud on "Fine-Grained Modeling and Optimization for Intelligent Resource Management in Big Data Processing" is accepted at VLDB 2022!

Yanlei Diao gave a distinguished lecture at Max Planck Institut (MPI) Informatik, December 2021.

Yanlei Diao gave a keynote speech at the 15th ACM International Conference on distributed and event-based systems (DEBS), June 2021.

Yanlei Diao received an ERC Consolidator Award, "Charting a New Horizon of Big and Fast Data Analysis through Integrated Algorithm Design", 05/2017-04/2022.

Yanlei Diao received an ANR Research Award, "A New Database Service for Interactive Exploration on Big Data", 10/2016-09/2019.


Research Highlights

ERC experience with Université Paris Saclay

A brief technical dicussion of the ERC project

Big Data, Big Computation, and the Genomic Jigsaw

UDAO: A next-generation optimizer of cloud data analytics
EXAD: Explainable anomaly detection on data streams
AIDEme: Interactive data exploration on large databases
GESALL: Genomic scalable analysis with low latency
SCALLA: Scalable low-latency analytics
CLARO: Uncertain data stream processing
SASE: Complex event processing over streams
STONES: Flash-based data management system
SPIRE: RFID data stream processing

Bio Sketch

Yanlei Diao joined Ecole Polytechnique as Professor of Computer Science in September 2015. She is also Professor of Computer Science at the University of Massachusetts Amherst, USA. She received her PhD in Computer Science from the University of California, Berkeley in 2005.

For a complete curriculum vitae, see the pdf document.