I am currently a fourth-year PhD student in the Department of Computer Science at Duke University, where I have the immense fortune of being advised by Pankaj K. Agarwal. Prior to this, I completed my Master's degree at the Department of Computer Science and Automation at the Indian Institute of Science (IISc), Bangalore.
I am broadly interested in the designing efficient algorithms with provable performance guarantees. My current research focuses on the intersection of algorithms, machine learning, and data management. Areas of interest include learning-augmented algorithms, algorithms for large-scale data analysis, learned database systems, and algorithmic methods for data discovery.
Authors are in alphabetical order, unless otherwise noted.
Syamantak Das, Sainyam Galhotra, Wen-Zhi Li, Rahul Raychaudhury, and Stavros Sintos. Metric Clustering and Graph Optimization Problems using Weak Comparison Oracles. Annual Conference on Learning Theory (COLT), 2025.
Aryan Esmailpour, Sainyam Galhotra, Rahul Raychaudhury, and Stavros Sintos. A Theoretical Framework for Distribution-Aware Dataset Search. ACM Symposium on Principles of Database Systems (PODS), 2025.
Pankaj K. Agarwal, Sariel Har-Peled, Rahul Raychaudhury, Stavros Sintos. Fast Approximation Algorithms for Piercing Boxes by Points. ACM-SIAM Symposium on Discrete Algorithms (SODA), 2024.
Pankaj K. Agarwal, Rahul Raychaudhury, Stavros Sintos, Jun Yang. Computing Data Distribution from Query Selectivities. International Conference on Database Theory (ICDT), 2024