I'm a Ph.D student in the Department of Computer Science, Courant Institute of Mathematical Sciences at New York University, with Prof. Yann LeCun. I'm interested in the area of Machine Learning and Pattern Recognition. My research focuses on trying to answer interesting questions by exploiting the rich contextual information associated with most data sets in a variety of real world domains. To this end, I have focused on the design and application of efficient learning and inference algorithms for models that are capable of handling the uncertainties and interdependencies among samples associated with large scale data sets. I have worked on models of very diverse nature, such as Energy Based Models, Graphical Models, Deep Learning Architectures, and Relational Graphical Models. Furthermore, these models have been applied to real world problems in a variety of domains, such as in economics for predicting the prices of real estate properties, in computer vision for object recognition, face verification, distance metric learning, and data visualization and in robot navigation.