The Math Statistics Lab for Learning  Big and Complex Data at UCSD is led by Professor Jelena Bradic of the Department of Mathematics. The Lab  designs new models and methods that can more efficiently  assist in signal discovery, detection, estimation or testing  than the current methods for high-dimensional and data with complex structure or dependency patterns. Lab expertise is in statistical learning, machine learning,  ensemble learning, optimization,  statistics, statistical efficiency and model selection.