Prof. Jared Tanner

Prof. Tanner’s research concerns extracting models of high dimensional date which reveal of the essential information in the data.  Specific contributions include the derivation of sampling theorems in compressed sensing using techniques from stochastic geometry and the design and analysis of efficient algorithms for matrix completion which minimise over higher dimensional subspaces as the reliability of the data warrants.  These techniques allow more efficient information acquisition as well as the ability to cope with missing data.

Recent interests include new models for low dimensional structure in heterogeneous data and topological data analysis.  Prof. Tanner is the Oxford University Liaison Director to the Alan Turing Institute.