Daoyuan Lai

Daoyuan Lai

PhD candidate
Department of Statistics and Actuarial Science
The University of Hong Kong
Email: dylai [at] connect [at] hku [at] hk
Office: Room 113, Run Run Shaw Building, HKU, Pokfulam Road, Hong Kong SAR
About me

I am a fifth-year Ph.D. candidate in the Department of Statistics and Actuarial Science at The University of Hong Kong. I have the good fortune of being advised by Dr. Yan Dora Zhang and Prof. Pak-Chung Sham. Additionally, I am collaborating with Dr. Tian Gu at Columbia University and Dr. Oscar Hernan Madrid Padilla at the University of California, Los Angeles. I am passionate about cross-disciplinary research, particularly in statistical genetics, high-dimensional statistics, bioinformatics, and epidemiology. My research focuses on data integration, aiming to enhance predictions by leveraging information from multiple datasets. I am seeking job opportunities in both industry and academia.

Research Interests
  • High-dimensional statistics
  • Statistical genetics
  • Data integration
    • Education
  • Ph.D. candidate in Statistics, University of Hong Kong (HKU)
  • B.S. in Statistics, Southern University of Science and Technology (SUSTech)
    • Work Experience
    [columbia]
    Department of Biostatistics, Columbia University
    Visiting Student
    New York, USA
    [columbia]
    Global Statistics and Data Science Department, BeiGene Inc.
    Research Intern
    Shanghai, China
    Research Papers
    [TL]
    Reject with Resubmission at Journal of the American Statistical Association, 2025+
    Daoyuan Lai, Oscar Hernan Madrid Padilla, Tian Gu*
    [pdf]
    [genetics]
    Under Revision at American Journal of Human Genetics, 2025+
    Daoyuan Lai, Han Wang, Tian Gu, Siqi Wu, Dajiang J. Liu, Pak Chung Sham, Yan Dora Zhang*
    [COVID-19 related]
    Journal of Evidence-Based Medicine, 2024
    Daoyuan Lai, Junfeng Lu, Dickson Lim, Han Wang, Tao Huang, Yan Dora Zhang*
    [HTML] [pdf]
    [COVID-19 related]
    BMJ Global Health, 2022
    Daoyuan Lai, Yuxi Cai, Tsai Hor Chan, Dailin Gan, Amber N Hurson, Yan Dora Zhang*
    [HTML] [pdf]
    [COVID-19 related]
    Vaccines, 2022
    Daoyuan Lai, Yan Dora Zhang, and Junfeng Lu*
    [HTML]
    [COVID-19 related]
    Frontiers in Genetics, 2022
    Han Wang, Xin Wang, Teng Li, Daoyuan Lai, Yan Dora Zhang*
    [HTML]
    [Prostheses]
    IEEE Transactions on Neural Systems and Rehabilitation Engineering, 2019
    Kuangen Zhang, Caihua Xiong, Wen Zhang, Haiyuan Liu, Daoyuan Lai, Yiming Rong, Chenglong Fu*
    [HTML]
    Awards and Honors
  • Biopharmaceutical Section Student Paper Award, American Statistical Association
  • Travel Award, Chinese Statistical Association of Young Scholars
  • Hung Hing Ying Scholarship, HKU
  • Hong Kong Government Scholarship - Reaching Out Award, HKU
  • Excellent Research Award, Department of Statistics and Actuarial Science, HKU
  • Outstanding Graduates Honor, Department of Statistics and Data Science, SUSTech
  • Outstanding Undergraduate Scholarship of SUSTech, SUSTech
    • Talks and Posters
  • Joint Statistical Meeting (JSM)
  • Eastern North American Region (ENAR) International Biometric Society Spring Meeting
  • American Society of Human Genetics (ASHG) Annual Meeting
  • BeiGene Intern Tech Talk
  • 12th International Chinese Statistical Association (ICSA) International Conference
    • Teaching
  • STAT3902 Statistical Models, HKU
  • STAT4610/6011 Computational Statistics/Bayesian Learning (graduate level), HKU
  • STAT3600 Linear Statistical Analysis, HKU