Published multiple papers, such as 'Sensitivity Sampling for k-Means: Worst Case and Stability Optimal Coreset Bounds' (FOCS 2024), 'Sensitivity Sampling for Coreset-Based Data Selection' (ICML 2024), etc.
Research Experience
Research Scientist at Google Research; research interests include Retrieval Augmented Generation, Thinking and Inference Methods for Foundation Models, Algorithms for Optimization Problems, and Differential Privacy.
Background
Research Scientist at Google Research, focusing on the design of inference methods for foundation models, and algorithms for optimization problems in data analysis and machine learning.