Ruqi Zhang is currently a Postdoctoral Researcher at the Institute for Foundations of Machine Learning (IFML) at the University of Texas at Austin. Dr. Ruqi's main research interest focuses in building scalable, reliable and efficient probabilistic models for machine learning and data science. Furthermore, they focus on developing fast and robust inference methods with theoretical guarantees and their applications with deep neural networks on real-world big data. Before coming to UT, Dr. Ruqi completed their PhD in Statistics at Cornell University, and a B.S. in Mathematics from Renmin University of China.