I am a teaching faculty member at Columbia University, focusing on Machine Learning, Algorithms and Theory. My primary area of research is Machine Learning and High-dimensional Statistics.
Previously, I worked at Janelia Research Campus, HHMI as a Research Specialist developing statistical techniques to quantitatively analyze neuroscience data. I have also worked at Amazon as a Research Scientist developing risk assessment models for real-time fraud detection.
I received my PhD in Computer Science from UC San Diego specializing in Machine Learning.
I enjoy working on various aspects of machine learning problems and high-dimensional statistics. I am especially interested in understanding and exploiting the intrinsic structure in data (eg. manifold or sparse structure) to design effective learning algorithms. Here is a representative list of my publications.