Postdoctoral Scholar, University of Chicago
My research interest revolves around machine learning and its applications in discovering underlying patterns in real-world data. At the Knowledge lab, my goal is to apply computational tools for processing enormous textual data sets and to develop novel learning models that give better insights into how humans think and interact collectively.
I received my doctorate in Electrical and Computer Engineering at Northeastern University. During the course of my Ph.D., my focus was primarily on generic analysis of learning models in theoretical levels. Prior to joining Knowledge lab, as a post-doctoral researcher in Harvard medical school, I conducted research in development and rigorous analysis of machine learning algorithms for automatic medical image processing.