Qiyuan Wang is a Ph.D. student in Statistics at Texas A&M. His research interests include Machine Learning, Time series analysis, Bayesian analysis and Federated Learning. He is the key member of Computer Vision group in Special Robotics Center of AIRS, which develops inspection robots for industry, object detection algorithms for robots and federated learning system. He is also a course assistant for Linear regression courses in Columbia University and Texas A&M.

Download my resumé.

  • Machine Learning
  • Time Series Analysis
  • Bayesian Analysis
  • Federated Learning
  • Ph.D. student in Statistics, 2023 - current

    Texas A&M University

  • MSc in Statistics, 2023

    Columbia University in the City of New York

  • BSc in Statistics, Data Science Stream, 2022

    The Chinese University of Hong Kong, Shen zhen

Working Experience

Research Assistant
Jul 2020 – Jun 2022 Shenzhen, China

Responsibilities include:

  • Design and implement Federated learning system
  • Conduct Computer Vision experiment
  • Perform Data Mining and Data Visualization
Members of the engineering department, Intern
Jul 2021 – Sep 2021 Hangzhou, China

Responsibilities include:

  • Implement source code of the MySQL database
  • Implement Python script for data query and selection


GRE Test
GRE Score: 327+
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Undergraduate Research Award
An award for the publication of the ISPEC conference papaer
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TOEFL Score: 104
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Neural Networks and Deep Learning
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CUHK(SZ) Bowen Scholarship
Bowen Scholarship 2018-2019, 2019-2020
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Recent Publications

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