Guosheng Yin

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Guosheng Yin (simplified Chinese: 尹国圣; traditional Chinese: 尹國聖; born in 1976) is a statistician, data scientist, educator and researcher in Biostatistics, Statistics, machine learning, and AI. Presently, Guosheng Yin is Chair in Statistics in Department of Mathematics at Imperial College London. Previously, he served as the Head of Department and the Patrick S C Poon Endowed Chair in Statistics and Actuarial Science, at the University of Hong Kong. Before he joined the University of Hong Kong, Yin worked at the University of Texas M.D. Anderson Cancer Center till 2009 as a tenured Associate Professor of Biostatistics.[1][2]

As an active researcher, he has published two books and over 220 scientific manuscripts in various peer-reviewed journals and conferences.

Education[edit]

Guosheng Yin obtained his Bachelor's degree (BS) in Physics at Jilin University (Changchun, China) in 1995, Master's Degree (MA) in Physics at Temple University (PA, USA) in 1997 and earned Ph.D. in Biostatistics from the University of North Carolina at Chapel Hill (NC, USA) in 2003.[3]

Research and career[edit]

Yin's research interests include AI, deep learning, machine learning, Bayesian methods, clinical trial methodologies, adaptive designs, survival analysis, high-dimensional data and change-point analysis. He started as an Assistant Professor and worked as a tenured Associate Professor of Biostatistics in the University of Texas M.D. Anderson Cancer Center.[4] Then, he joined the Department of Statistics and Actuarial Science at the University of Hong Kong as an Associate Professor in 2009 and promoted to a tenured Professor in 2014. In 2017-2023, he served as the Head of Department of Statistics and Actuarial Science, and he became an endowed chair as the Patrick S C Poon Professor in Statistics and Actuarial Science in 2018.

Yin pioneered new statistical techniques to refine precision medicine, design adaptive clinical trials, and facilitate drug development.[5] His versatile designs for clinical trials include adaptive phase I dose-finding methods, drug-combination studies, designs with late-onset outcomes and phase I/II trial designs.[6] His ground-breaking research has ushered in advanced regression models and computational algorithms, enabling statistical modeling and theory application. He developed Bayesian generalized method of moments, established the connection between Bayesian posterior probability and p-value in hypothesis testing and further made a reconcilable interpretation on the well-known Lindley paradox.[7][8] Yin has included machine learning and artificial intelligence in his research to amplify the precision and applicability of statistical science in solving real-world problems. Recently, he led a research team that integrated radiography and computer vision to develop a digital online diagnostic system for COVID-19 based on chest CT scans.[9]

Awards[edit]

He has won recognition from various premier institutions:

  • Fellow of Institute of Mathematical Statistics (IMS) (2021)[10]
  • World's top 1% of scientists by Clarivate Analytics (2015, 2019, 2021)
  • Fellow of American Statistical Association (ASA) (2013)
  • Elected Member of International Statistical Institute (ISI) (2012)
  • James E. Grizzle Distinguished Alumni Award, Department of Biostatistics, University of North Carolina at Chapel Hill (2009)

Publications[edit]

Yin is the author of two books and numerous research papers with more than 220 peer-reviewed publications in international scientific journals and conferences; the following list names a few of them:

Statistical Methodologies

  • PCA rerandomization. Canadian Journal of Statistics. 2023
  • Bayesian log-rank test. The American Statistician. 2023.
  • CFO: Calibration-free odds design for phase I/II clinical trials. Statistical Methods in Medical Research 2022.
  • Crystallization learning with the Delaunay triangulation. International Conference on Machine Learning ICML 2021.
  • Demystify Lindley's paradox by connecting p-value and posterior probability. Statistics and Its Interface 2021.[11]
  • Reconnecting p-value and posterior probability under one- and two-sided tests. The American Statistician 2021, DOI: 10.1080/00031305.2020.1717621
  • Online COVID-19 diagnosis with chest CT images: Lesion-attention deep neural networks. 26th ACM SIGKDD Conference, 2020.
  • Bayesian model averaging continual reassessment method in phase I clinical trials. Journal of American Statistical Association 104, 954–968, 2009.
  • Bayesian generalized method of moments (with discussion). Bayesian Analysis 4, 191–222, 2009.

He has published two books in the areas of clinical trial design and methods:

  • Statistical Design and Analysis in Clinical Trials (in Chinese). Higher Education Press, China, 2018.
  • Clinical Trial Design: Bayesian and Frequentist Adaptive Methods. Wiley Series in Probability and Statistics. Hoboken, New Jersey, USA, 2012.

References[edit]

  1. ^ "YIN, Guosheng - Teaching Staff Profile - Teaching Staff - Faculty Members - About Us - Faculty of Science, HKU". www.scifac.hku.hk. Retrieved 2021-05-12.
  2. ^ "Alumni Profile: Guosheng Yin, PhD". UNC Gillings School of Global Public Health. Retrieved 2021-05-12.
  3. ^ "Professor Guosheng Yin". web.hku.hk. Retrieved 2021-05-12.
  4. ^ "Faculty & Staff". MD Anderson Cancer Center. Retrieved 2021-05-12.
  5. ^ Hamasaki, Toshimitsu; Morita, Satoshi; Chen, Jie (2021-04-03). "Special Issue for Selected Articles From the ISBS2019: Statistical Innovation and Contribution in the Era of Precision Healthcare". Statistics in Biopharmaceutical Research. 13 (2): 131–132. doi:10.1080/19466315.2021.1909325.
  6. ^ Yin, Guosheng (2012). Clinical trial design : Bayesian and frequentist adaptive methods. Hoboken, N.J.: John Wiley & Sons. ISBN 978-1-118-18333-5. OCLC 775437755.
  7. ^ "core.ac.uk" (PDF).
  8. ^ Yin, Guosheng; Ma, Yanyuan; Liang, Faming; Yuan, Ying (2011). "Stochastic Generalized Method of Moments". Journal of Computational and Graphical Statistics. 20 (3): 714–727. doi:10.1198/jcgs.2011.09210. ISSN 1061-8600. JSTOR 23248848. PMC 3286612. PMID 22375093.
  9. ^ "HKU statisticians develop online diagnostic system for screening COVID-19 with AI technologies based on chest CT dataset - All News - Media - HKU". www.hku.hk. Retrieved 2021-05-12.
  10. ^ "Professor Guosheng Yin elected as a Fellow of the Institute of Mathematical Statistics 2021 - News - Faculty of Science, HKU". www.scifac.hku.hk. Retrieved 2021-05-12.
  11. ^ Yin, Guosheng; Shi, Haolun (2020-02-24). "Demystify Lindley's Paradox by Interpreting P-value as Posterior Probability". arXiv:2002.10883 [stat.ME].

External links[edit]

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