Qijia Jiang

Postdoctoral Researcher
Dr. Qijia Jiang is a postdoc at UT Austin with Rachel Ward, having research interests in optimization, signal processing, statistics and decision making in social-dynamic environments. She got a PhD in Electrical Engineering from Stanford and received two bachelors (in Electrical Engineering and Statistics) with a minor in Applied Math from Rice University in 2015. Dr. Jiang enjoys applications of statistics and algorithmic tools for answering social science questions.

Select Publications

Emmanuel Candès, Qijia Jiang, Mert Pilanci. Randomized Alternating Direction Methods for Efficient Distributed Optimization.
Heinrich Jiang, Qijia Jiang, Aldo Pacchiano. Learning the Truth from Only One Side of the Story.
Sébastien Bubeck, Qijia Jiang, Yin Tat Lee, Yuanzhi Li, Aaron Sidford. Near-Optimal Method For Highly Smooth Convex Optimization.