Yanlei Diao, who obtained a PhD from the University of California, Berkeley in 2005, became a professor at the University of Massachusetts Amherst in the United States where she developed research and teaching in the field of big data analytics. Internationally recognised for her expertise in the processing of big data flows, Yanlei Diao also developed numerous collaborations with companies such as Google, IBM, and Cisco. On 1 September 2015, Yanlei Diao was recruited jointly by École Polytechnique and Télécom ParisTech in order to develop a world-class research team in the field of Big Data. Recipient of a University Paris-Saclay excellence chair, Yanlei Diao is a member of the LIX, École Polytechnique's Computer Science Laboratory (under the joint supervision of the CNRS), the team DBWeb of the Télécom ParisTech laboratory LTCI and the team Cedar of Inria Saclay – Île-de-France research centre.
The ERC Consolidator Grant rewards the visionary, ground-breaking research proposed by Yanlei Diao. In the field of Big Data, of paramount importance today is perpectual, low-latency analysis of large volumes of data, referred to as « Big and Fast Data Analysis » in this grant. Such analysis carries the promise to return timely information and insights to numerous applications and to foster revolution in critical scientific (genomics, for example) and societal fields. However, today’s systems cannot support both the scale of data and the low-latency of data analysis. The first set of big data systems (e.g., Hadoop) succeeded in scaling but suffered from high latency of data analysis. The second generation of systems (e.g., Spark) have evolved to cope with live data streams, but they are still struggling with guaranteed latency when the data size exceeds the memory size of a computer cluster. Diao’s research marks the development of a third wave of big data systems that can achieve both scale and low latency for a wide range of complex analytics.
Toward this vision, Diao’s research develops a new algorithmic foundation for clean slate design of big and fast data systems. It advances the state of the art on many fronts. First and foremost, it maximizes the potential of parallelism in all its forms, including both data parallelism (to scale out) and "pipeline" parallelism to reduce processing response times. Furthermore, it designs new algorithmic solutions to enable complex analytical problems, including temporal pattern analysis, graph analysis, and machine learning tasks, to exploit such parallelism to the maximum extent .("pipeline" refers to a specific process for the parallelisation of calculations, in series)
Diao received training implemented by the Université Paris-Saclay - the support for which she was particularly grateful - when submitting her application for the ERC. Thanks to this funding, Diao will get the chance to surround herself with talented people in order to developed this ambitious project. She also intends to strengthen her collaborations, particularly in Machine Learning.
Diao foresees applications in numerous fields and is seeking real case studies and partner companies in France; she intends to develop collaborations in data management on subjects such as large-scale web data analytics, low-latency genome and healthcare data analysis, real-time object tracking and detection detection in the Internet of Things.
Learn more: http://www.lix.polytechnique.fr/~yanlei.diao/
The ERC Consolidator Grant honours a researcher with 7 to 12 years of post-PhD experience, for the scientific excellence of the researcher and his/her project (value, innovative nature, feasibility, innovative methodology). In total, 314 projects were selected in 2016, including 43 projects based in France.
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École Polytechnique is the leading French institute which combines top-level research, academics, and innovation at the cutting-edge of science and technology. Its various undegraduate and graduate-level programs – Bachelor’s degree, Ingénieur Polytechnicien, Master’s, Graduate Degree, PhD program and PhD– are highly selective and promote a culture of excellence with a strong emphasis on science, anchored in humanist traditions. As a widely internationalized university, École Polytechnique offers a variety of international programs and attracts a growing number of foreign students and researchers from around the globe (currently 30% of students and 39% of faculty members).
École Polytechnique offers an exceptional education to prepare bright men and women to excel in high-level key positions and lead complex and innovative projects which meet the challenges of 21st century society, all while maintaining a keen sense of their civil and social responsibilities. With its 22 laboratories, 21 of which are joint research units with the French National Center for Scientific Research (CNRS), École Polytechnique Research Center explores the frontiers of interdisciplinary knowledge to provide major contributions to science, technology, and society. École Polytechnique is a founding member of Université Paris-Saclay.
Télécom ParisTech trains its graduates to innovate and undertake entrepreneurship in a – now digital – world. Its teaching and research encompass all the disciplines of Information and Communication Technology and Science (ICTS) and also Human, Social and Economical Science. Its curricala lead to a wide array of graduate degrees: engineers, doctors and for professionals, attracting 55% of foreign students (from 40 countries). Its two research laboratories, LTCI & I3, combine international level expertises with a unique capacity in Europe to foster interdisciplinary activities answering socio-economic challenges of the 21st century in every sector of activity (health, transportation, energy, security, services, etc.). Interdisciplinarity is based on 6 transversal axes: Big Data, Very Large Networks and Systems, Digital Trust, Design-Interaction-Perception, Modelling for a Digital World, Digital Innovation. Half of research’s budget is funded by industry contracts. Télécom ParisTech is part of IMT and positions itself as the future "College of innovation based on digital technology" of the Université Paris-Saclay (UPSaclay). UPSaclay aims at becoming one of the first world innovation clusters.
Inria, the French National Institute for computer science and applied mathematics, promotes “scientific excellence for technology transfer and society”. Graduates from the world’s top universities, Inria's 2,700 employees rise to the challenges of digital sciences. With its open, agile model, Inria is able to explore original approaches with its partners in industry and academia and provide an efficient response to the multidisciplinary and application challenges of the digital transformation. Inria is the source of many innovations that add value and create jobs. Created in 2008, the Inria Saclay - Île-de-France research centre is home to 450 scientists and 100 administrative staff. The scientists are organised into 31 research teams, 23 of which are joint teams with partners of the Plateau de Saclay