I am a Principal Inventive Scientist in Data Science and AI Research at AT&T Chief Data Organization. My work focuses on machine learning and data science techniques for relational structures, graphs, networks, high-dimensional and spatial datasets with an emphasis on interpretable and statistically rigorous approaches. I have worked on a range of applications including recommender systems, customer segmentation, and location analytics. Prior to AT&T, I was with the Geometric Computation group in the Computer Science Department at Stanford University. I got my PhD in Applied and Computational Mathematics from Princeton University and subsequently taught at Purdue and Drew Universities.