My research lies in the intersection of applied probability, mathematical statistics and statistical learning theory with a focus on manifold learning and machine learning. Currenly, I mainly focus on the following topics: Random Matrix Theory and its statistical and algorithmic applications, non-stationary time series analysis, statistical analysis for algorithms (machine learning and manifold learning) for complex, high dimensional and noisy data.