My research interest includes are in theoretical and computational aspects of statistical machine learning, robust statistics, and topological data analysis for multi-view data integration in Biomedical Enginering. Statistical machine learning: dimensionality reduction, feature selection, non-parametric models, and inference methods. Robust statistics: robustness of unsupervised kernel methods, non-parametric inference, and robustness of linear multivariate approaches. Topological data analysis: methods for imposing a geometry, visualizing a geometry, and method on persisten homology.
Efficiency, Productivity and Stochastic Analysis, Data Mining and Statistical Learning, Support Vector Machine, Multivariate Data Analysis
Interested to work in any field of Statistics specially Time series, Econometrics, Bio-statistics, Demography.