My research stands at the exciting intersection of algorithms, geometry, and graph theory. Broadly speaking, my work focuses on summarization of geometric data. That is, ways to organize data of geometric nature in more manageable forms that could be utilized for algorithmic design. Some key words: low-distortion metric embeddings, stochastic decompositions, spanners, approximation algorithms, streaming algorithms, online algorithms, and computational geometry.