I currently lead machine learning efforts in building new advertising products at Facebook. We are a team of machine learning scientists and engineers building some of the most sophisticated large-scale recommendation systems in the world in order to connect nearly two billion people with relevant businesses and hundreds of millions of products. Our work spans a broad range of machine learning approaches including generalized linear models, neural networks and deep learning, collaborative filtering, large-scale retrieval methods for vector data, and text and image understanding.
Prior to Facebook, I led teams of machine learning engineers and data scientists at LinkedIn, making LinkedIn News Feed highly personalized and engaging, and building novel data products empowering educational decision making of prospective college students. Before LinkedIn, I led a team of machine learning experts in computational advertising at Quantcast. The team drove double-digit increases in performance of Quantcast’s online Advertising products and company revenue by developing data driven solutions for ad delivery, fraud detection, and campaign management.
I completed my Ph.D. in Computer Science at Rutgers University. My research focused on machine learning and its applications on textual and financial data. I have co-authored over 20 US patent applications, and continue to publish in machine learning and data mining venues.


Machine learning and recommendation systems