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Xianshi Yu
Data Scientist StackAdapt Inc.
I worked as a postdoctoral fellow from 2018 to 2022 in the University of Michigan, Department of Statistics and Department of Biostatistics. My research concerns statistical learning problems motivated from real applications. My contributions have been to develop statistical methods with theoretical guarantees. Algorithmic development and the analyses of statistical consistency are essential components of my work. I have worked on Network Data Analysis and signal processing, and my recent focus is on Hypergraph data and Electronic Health Record (EHR) data.

My applied research concerns a variety of topics in healthcare, involving statistical predictive modeling, data harmonization, quality of care and health policy.

Research Interests

  • Network and Hypergraph Data Analysis
  • Statistical Machine Learning
  • Electronic Health Record Data
  • Statistical Modeling for Health and Medicine

Work Experience

Postdoctoral Fellow, 2018 - 2022

  University of Michigan, Department of Statistics and Department of Biostatistics

Education

MS in Computer Science, 2024

  University of Wisconsin-Madison, Department of Computer Sciences

PhD in Mathematics, 2018

  Hong Kong University of Science and Technology, Department of Mathematics

  PhD thesis title: Network Data Analysis and Its Applications

  MPhil thesis title: Fused MCP with Applications in Signal Processing

BSc in Mathematics, 2012

  Sichuan University, Department of Mathematics