Centre for Data Science
Developing new theory and algorithms, to make sense of big data
The UCL Centre for Data Science is a UCL-wide research and innovation initiative. We develop new mathematical and statistical theory, and quantitative and computational methods, to help make sense of large, complex data sets. Our work is helping to shape the emerging field of data science, and has application in a wide variety of scientific disciplines.
Our researchers collaborate with several university, industrial, commercial and governmental partners, in the UK and internationally. Our major activities include academic and industry-focussed research, data science executive education, expert consultancy, and scientific workshops and conferences.
We also contribute actively to the public conversation around data science, and the opportunities and challenges it presents.
Our course draws upon the deep technical and government-focused expertise of researchers and teaching fellows working across the multidisciplinary nature of data science, and its application to official statistics.
With increasing volumes of data being generated and processed by scientists, governments and the public, methods for acquisition, computation, analysis, storage and retrieval must evolve to keep pace.
The RSS award is for fellows near the beginning of their research career for an outstanding published contribution to statistical theory or application
The Research Prize is awarded to Tengyao Wang for his outstanding and diverse contributions to statistical methodology and theory. Amongst other research, he has given a new understanding about computational and statistical trade-offs; developed theory for multi-dimensional shape constrained estimators; and introduced a new paradigm and method for detecting changes in high-dimensional data streams.