I am currently a senior machine learning engineer at Snap. I received my Ph.D. from Oden Institute, UT Austin, advised by Rachel Ward. My research focuses on understanding optimization and generalization in deep learning. In particular, I am interested in adaptive stochastic gradient descent algorithms, generalization of overparameterized systems, sparse random feature models, and robust learning. Before joining UT Austin, I received my bachelor’s degree in Mathematics and Applied Mathematics from Zhejiang University, China. And I was an exchange student at Lund University, Sweden, during Fall 2015.
PhD in Computational Science, Engineering, and Mathematics, 2017 - 2022
The University of Texas at Austin
BSc in Applied Mathematics, 2013 - 2017
Zhejiang University
Project: Learning to Super-learn: Meta-learning for Imbalanced Tasks.
Patent: MetaModel and Feature Generation for Rapid and Accurate Anomaly Detection