I am a Post-Doctoral Associate in the Computer Science Department at Courant Institute of Mathematical Sciences, New York University. I am working in the Computational and Biological Learning Lab, which is a part of Computational Intelligence, Learning, Vision, and Robotics Lab, of prof. Yann LeCun. I received my PhD from the Department of Electical Engineering at Columbia University in the City of New York, where I was also the Fu Foundation School of Engineering and Applied Science Presidential Fellowship holder (in years 2009-2012). My advisor was prof. Tony Jebara. I was co-advised by prof. Claire Monteleoni. My scientific interests focus on machine learning both theoretical and applicable to the variety of real-life phenomena. Currently my main research projects focus on numerical optimization and deep learning. I am also working on learning from datastreams, learning with expert advice, supervised and unsupervised online learning, clustering, and structured prediction. I have also been working on applying machine learning to analyze neural circuits, particularly 3D reconstruction of neurons from confocal microscopy images and classification of neurons. You can find my Curriculum Vitae here.
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