Di Wang is in the Market Algorithm team, which is part of the broader Algorithms, Theory, Neural networks, and AI (Athena) team under Google Research. Di finished his PhD in Computer Science at UC Berkeley where he was advised by Satish Rao. Before joining Google, Di worked as a postdoc researcher at the Simons Institute (UC Berkeley) and the Algorithms & Randomness Center at Georgia Tech. Di's research interests are in the design of efficient algorithms, especially for large-scale optimization problems and graph problems that arise broadly in applications from machine learning, data analysis and operations research. My work draws on a broad range of numerical and discrete tools from combinatorics, optimization and graph theory, which leads to not only stronger theoretical guarantees, but also practical improvements for computational challenges arising in practice.