
About
Dr. Vijay Pappu is an Adjunct Associate Professor of Computer Science at Columbia Engineering. He leads personalization efforts at Peloton Interactive Inc., focusing on scalable Machine Learning techniques for digital experiences. His research bridges Machine Learning, Optimization, and Engineering applications in domains like digital acquisition and product personalization. He teaches Applied Machine Learning courses at Columbia and has extensive industry experience at firms including Spotify, JP Morgan Chase, and American Express.
Dr. Pappu holds a Ph.D. in Machine Learning from the University of Florida (2013), alongside advanced degrees in Management, Industrial & Systems Engineering, Mechanical & Aerospace Engineering, and a Bachelor’s from IIT Madras. His work includes over 300 citations, with publications in peer-reviewed journals/conferences. He co-edited Springer volumes and organized conferences on Biomedicine and Smart Grids.
His research emphasizes high-dimensional data classification, feature selection, and optimization in areas like biomedical diagnostics and smart grid security. He has managed teams building large-scale recommender systems, demonstrating expertise in both academic research and industrial application.
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