I received my Ph.D. degree in Electrical Engineering and Computer Science department from Ryerson University under the supervision of Matthew Kyan and Alexandra (Ali) Mazalek and my MSc degree in Biomedical Engineering in ECE department from K.N.Toosi University of Technology. I am broadly interested in both theoretical and applied matematical problems. On the theoretical side, I am concentrating on machine learning, optimization, and high-dimensional statistical inference. On the applied side, I have been fortunate to work with a number of excellent collaborators in fields such as human computer interaction, pathology, and genomics/proteomics. My research interests span the analysis, reconstruction, high-dimensional visualization, and interpretation of disease and drug-target gene/protein networks based on: Machine Learning, Convex and Non-Convex Optimization, Compressed Sensing, Signal Processing, Network Science, Tangible User Interface. I specialize in developing, analyzing, and visualizing model selection procedures that address challenges arising from high dimensionality and various forms of constraints in modern data analysis.