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Tianmin Xie

  • PhD Candidate in Data Sciences and Operations

Tianmin Xie is a fifth year PhD candidate in the Data Sciences and Operations department in the Marshall School of Business. He is advised by Professor Matteo Sesia. Prior to joining USC, he received his Bachelor's and Master's degree in Mathematics from the University of Cambridge. My research develops statistical methods for reliable uncertainty quantification in machine learning, with a focus on conformal inference. 

Tianmin Xie
Press Inquiries: COMMUNICATIONS@MARSHALL.USC.EDU

Areas of Expertise

Big Data
Machine Learning
Statistics

Programs

Data Sciences + Operations PhD

Departments

Data Sciences + Operations

NEWS + EVENTS