Prof Mihai Cucuringu

Senior Research Fellow

Associate Professor, Department of Statistics, University of Oxford

Mihai Cucuringu Photo


Mihai Cucuringu is an Associate Professor in the Department of Statistics, and an Affiliate Faculty in the Mathematical Institute. He is also a Lecturer at Merton College, and a Turing Fellow at The Alan Turing Institute in London.

Previously, he was a Research Fellow at The Alan Turing Institute and Oxford Statistics, and a CAM Assistant Adjunct Professor in the Department of Mathematics at UCLA. He finished his Ph.D. in Applied and Computational Mathematics at Princeton University in 2012, with a thesis on the low-rank matrix completion problem, and several distance geometry problems with applications to sensor network localization and three-dimensional structuring of molecules. During Fall 2014, he was a Research Fellow at the Simons Institute for Theory of Computing at UC Berkeley, in the program Algorithmic Spectral Graph Theory, and a Research Fellow at ICERM, Brown University, in the program Network Science and Graph Algorithms during Spring 2014. Prior to that, he was a Quantitative Researcher in Statistical Arbitrage in the Quantitative Trading Group at Bank of America Merrill Lynch, New York.

Mihai's research interests pertain to the development and mathematical & statistical analysis of algorithms that extract information from massive noisy data sets, network analysis, and certain computationally-hard inverse problems on large graphs. Applications include various problems in machine learning, statistics, finance, and engineering, often with an eye towards extracting structure from time-dependent data which can be subsequently leveraged for prediction purposes. Particular areas of interest include spectral algorithms for clustering, ranking, network analysis, time series analysis, dimensionality reduction, news sentiment analysis, statistical analysis of big financial data, statistical arbitrage, market microstructure, limit order books, and risk models.