Guosheng Yin: Difference between revisions
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Professor Yin pioneered new statistical techniques to refine precision medicine and facilitate drug development.<ref>{{Cite journal|last=Hamasaki|first=Toshimitsu|last2=Morita|first2=Satoshi|last3=Chen|first3=Jie|date=2021-04-03|title=Special Issue for Selected Articles From the ISBS2019: Statistical Innovation and Contribution in the Era of Precision Healthcare|url=https://doi.org/10.1080/19466315.2021.1909325|journal=Statistics in Biopharmaceutical Research|volume=13|issue=2|pages=131–132|doi=10.1080/19466315.2021.1909325}}</ref> His versatile designs for clinical trials include adaptive phase I dose-finding methods, drug-combination studies, and phase I/II designs.<ref>{{Cite book|last=Yin|first=Guosheng|url=https://www.worldcat.org/oclc/775437755|title=Clinical trial design : Bayesian and frequentist adaptive methods|date=2012|publisher=John Wiley & Sons|isbn=978-1-118-18333-5|location=Hoboken, N.J.|oclc=775437755}}</ref> His ground-breaking research has ushered in advanced [[Regression model|regression models]] and [[computational algorithms]], enabling statistical modeling and theories 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's paradox|Lindley paradox]].<ref>{{Cite web|title=core.ac.uk|url=https://core.ac.uk/download/pdf/37962373.pdf|url-status=live}}</ref><ref>{{Cite journal|last=Yin|first=Guosheng|last2=Ma|first2=Yanyuan|last3=Liang|first3=Faming|last4=Yuan|first4=Ying|date=2011|title=Stochastic Generalized Method of Moments|url=https://www.jstor.org/stable/23248848|journal=Journal of Computational and Graphical Statistics|volume=20|issue=3|pages=714–727|issn=1061-8600}}</ref> Professor 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.<ref>{{Cite web|title=HKU statisticians develop online diagnostic system for screening COVID-19 with AI technologies based on chest CT dataset - All News - Media - HKU|url=https://www.hku.hk/press/news_detail_21109.html|access-date=2021-05-12|website=www.hku.hk|language=en}}</ref> |
Professor Yin pioneered new statistical techniques to refine precision medicine and facilitate drug development.<ref>{{Cite journal|last=Hamasaki|first=Toshimitsu|last2=Morita|first2=Satoshi|last3=Chen|first3=Jie|date=2021-04-03|title=Special Issue for Selected Articles From the ISBS2019: Statistical Innovation and Contribution in the Era of Precision Healthcare|url=https://doi.org/10.1080/19466315.2021.1909325|journal=Statistics in Biopharmaceutical Research|volume=13|issue=2|pages=131–132|doi=10.1080/19466315.2021.1909325}}</ref> His versatile designs for clinical trials include adaptive phase I dose-finding methods, drug-combination studies, and phase I/II designs.<ref>{{Cite book|last=Yin|first=Guosheng|url=https://www.worldcat.org/oclc/775437755|title=Clinical trial design : Bayesian and frequentist adaptive methods|date=2012|publisher=John Wiley & Sons|isbn=978-1-118-18333-5|location=Hoboken, N.J.|oclc=775437755}}</ref> His ground-breaking research has ushered in advanced [[Regression model|regression models]] and [[computational algorithms]], enabling statistical modeling and theories 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's paradox|Lindley paradox]].<ref>{{Cite web|title=core.ac.uk|url=https://core.ac.uk/download/pdf/37962373.pdf|url-status=live}}</ref><ref>{{Cite journal|last=Yin|first=Guosheng|last2=Ma|first2=Yanyuan|last3=Liang|first3=Faming|last4=Yuan|first4=Ying|date=2011|title=Stochastic Generalized Method of Moments|url=https://www.jstor.org/stable/23248848|journal=Journal of Computational and Graphical Statistics|volume=20|issue=3|pages=714–727|issn=1061-8600}}</ref> Professor 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.<ref>{{Cite web|title=HKU statisticians develop online diagnostic system for screening COVID-19 with AI technologies based on chest CT dataset - All News - Media - HKU|url=https://www.hku.hk/press/news_detail_21109.html|access-date=2021-05-12|website=www.hku.hk|language=en}}</ref> |
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== Awards == |
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Professor Yin has won recognition from various premier institutions: |
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* Fellow of Institute of Mathematical Statistics (IMS) (2021).<ref>{{Cite web|title=Professor Guosheng Yin elected as a Fellow of the Institute of Mathematical Statistics 2021 - News - Faculty of Science, HKU|url=https://www.scifac.hku.hk/news/professor-guosheng-yin-elected-as-a-fellow-of-IMS-2021|access-date=2021-05-12|website=www.scifac.hku.hk|language=en}}</ref> |
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* World's top 1% of scientists by Clarivate Analytics (2015, 2019) |
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* Fellow of American Statistical Association (ASA) (2013) |
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* Elected Member of International Statistical Institute (ISI) (2012) |
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* James E. Grizzle Distinguished Alumni Award, Department of Biostatistics, University of North Carolina at Chapel Hill (2009) |
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* |
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==References== |
==References== |
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Revision as of 11:42, 12 May 2021
Guosheng Yin is an educator and researcher, with years of experience at reputable universities and institutions in Biostatistics and Statistics. Presently, Professor Guosheng Yin is the Head of Department and the Patrick S C Poon Professor in Statistics and Actuarial Science, at the University of Hong Kong.[1][2]
As an active researcher, Professor Yin has published over 180 scientific manuscripts in various peer-reviewed journals and conferences.
Education
Professor Guosheng Yin obtained his Bachelor’s Degree (BS) in Physics at Jilin University (Changchun, China), Master’s Degree (MA) in Physics at Temple University (PA, USA) and earned Ph.D. in Biostatistics from the University of North Carolina at Chapel Hill (NC, USA) in 2003.[3]
Research and career
Professor Yin's research interests include AI, Deep learning, Machine learning & Bayesian methods and Clinical trial methodologies, adaptive designs. 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 and became a Professor in 2014. Since 2017, he has been serving as the Head of Department of Statistics and Actuarial Science.
Professor Yin pioneered new statistical techniques to refine precision medicine and facilitate drug development.[5] His versatile designs for clinical trials include adaptive phase I dose-finding methods, drug-combination studies, and phase I/II designs.[6] His ground-breaking research has ushered in advanced regression models and computational algorithms, enabling statistical modeling and theories 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] Professor 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
Professor Yin 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)
- 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)
References
- ^ "YIN, Guosheng - Teaching Staff Profile - Teaching Staff - Faculty Members - About Us - Faculty of Science, HKU". www.scifac.hku.hk. Retrieved 2021-05-12.
- ^ "Alumni Profile: Guosheng Yin, PhD". UNC Gillings School of Global Public Health. Retrieved 2021-05-12.
- ^ "Professor Guosheng Yin". web.hku.hk. Retrieved 2021-05-12.
- ^ "Faculty & Staff". MD Anderson Cancer Center. Retrieved 2021-05-12.
- ^ 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.
- ^ 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.
- ^ "core.ac.uk" (PDF).
{{cite web}}: CS1 maint: url-status (link) - ^ Yin, Guosheng; Ma, Yanyuan; Liang, Faming; Yuan, Ying (2011). "Stochastic Generalized Method of Moments". Journal of Computational and Graphical Statistics. 20 (3): 714–727. ISSN 1061-8600.
- ^ "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.
- ^ "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.
External Links
- Google Scholar -Guosheng Yin