Andrew Ying
About meI received my B.S. in mathematics from Zhejiang University back in China in 2015. Now I am a fourth year PhD candidate in department of mathematics in UCSD following two advisors. One of my thesis advisors is Ery Arias-Castro with whom we focused on fields including multiple testing and global testing. Also, I am following Professor Ronghui (Lily) Xu to work on fields like causal inference and survival analysis. I am also quite interested in machine learning theory like the state of the art, deep learning theory, which I hope I can make more contributions in the future. ResearchMy research interests include
Recent PublicationsE. Arias-Castro and A. Ying. Detection of Sparse Mixtures: Higher Criticism and Scan Statistic.
Electronic Journal of Statistics, 2019. [paper] A.Ying, R. Xu and J. Murphy. Two-Stage Residual Inclusion for Survival Data and Competing Risks - An Instrumental Variable Approach with Application to SEER-Medicare Linked Data.
Statistics in Medicine, 2018.
[paper][code] S. Chen, A. Ying and E. Arias-Castro. A Scan Procedure for Multiple Testing.
arXiv preprint arXiv:1808.00631, 2018. [arxiv]
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