Shrinkage methods for big and complex data analysis 

High dimensional estimation and inference with side information 

Nonparametric empirical Bayes methods for large-scale inference under heteroscedasticity 

Large scale inference with structural information 

Robust estimation of high dimensional parameters 

Feature selection in high-dimensional modeling with thresholded regression 

Estimation of graph Laplacian and covariance matrices 

Three essays on linear and non-linear econometric dependencies 

Regularized structural equation modeling 

Three essays on health & aging 

Essays on health and aging with focus on the spillover of human capital 

Reconstruction and estimation of shear flows using physics-based and data-driven models 

Enhancing model performance of regularization methods by incorporating prior information 

Three essays on the identification and estimation of structural economic models 

Penalized portfolio optimization 

Deformation control for mask image projection based stereolithography process 

Model selection methods for genome wide association studies and statistical analysis of RNA seq data 

On the theory and applications of structured bilinear inverse problems to sparse blind deconvolution, active target localization, and delay-Doppler estimation 

Importance of cell phenotype, matrix factor and mechanical stimulus on tissue-engineered mitral valve chordae 

Neighborhood and graph constructions using non-negative kernel regression (NNK) 

Analysis, design, and optimization of large-scale networks of dynamical systems 

Large-scale inference in multiple Gaussian graphical models 

Bayesian hierarchical models in genetic association studies 

3D printing of polymeric parts using Selective Separation Shaping (SSS) 

Attrition in longitudinal twin studies: a comparative study of SEM estimation methods