{"title":"与Amy Racine-Poon的对话","authors":"Oleksandr Sverdlov","doi":"10.1111/insr.12605","DOIUrl":null,"url":null,"abstract":"<div>\n \n <p><b>Professor Dr. Amy Racine-Poon is best known for her interdisciplinary contributions as an applied Bayesian statistician in the pharmaceutical industry and healthcare. She was born in Hong Kong and obtained a BA with upper honors in Mathematics (1970) from the Chinese University of Hong Kong. She earned a PhD in statistics from the University of California, Berkeley, under the supervision of Erich L. Lehmann. She worked as a Lecturer at the Department of Statistics at UC Berkeley (1975–1977) and as a Statistician at the Biometry Branch of the National Institute of Environmental Health in Research Triangle Park, North Carolina (1977–1980). Amy moved to Basel, Switzerland, in 1981 to join Ciba-Geiby/Novartis AG, where she worked for 42 years (1981–2023) across different therapeutic areas and stages of drug development, applying her skills in advanced statistical and pharmacometric methodologies that led to the development of large number of new drugs. During her career, she was also a Visiting Professor at the Department of Mathematics, Imperial College London (1995–1997) and a Volunteer Statistical Expert at Bill & Melinda Gates Foundation, Seattle, Washington (2015–2019). Amy Racine-Poon's numerous honors include the Royal Statistical Society Greenfield Industrial Medal for Innovative Use of Statistics in the Industries (1995), Fellow of the American Statistical Association (1997), Novartis Distinguished Scientist Award (1999), American Statistical Association Youden Interlaboratory Research Award (2020) and the Sheiner-Beal Pharmacometrics Award (2024) from the American Society of Clinical Pharmacology and Therapeutics. The following conversation took place between Oleksandr Sverdlov (Alex) and Amy Racine-Poon (Amy) in October 2024.</b></p>\n </div>","PeriodicalId":14479,"journal":{"name":"International Statistical Review","volume":"93 2","pages":"183-198"},"PeriodicalIF":1.8000,"publicationDate":"2025-01-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A Conversation With Amy Racine-Poon\",\"authors\":\"Oleksandr Sverdlov\",\"doi\":\"10.1111/insr.12605\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div>\\n \\n <p><b>Professor Dr. Amy Racine-Poon is best known for her interdisciplinary contributions as an applied Bayesian statistician in the pharmaceutical industry and healthcare. She was born in Hong Kong and obtained a BA with upper honors in Mathematics (1970) from the Chinese University of Hong Kong. She earned a PhD in statistics from the University of California, Berkeley, under the supervision of Erich L. Lehmann. She worked as a Lecturer at the Department of Statistics at UC Berkeley (1975–1977) and as a Statistician at the Biometry Branch of the National Institute of Environmental Health in Research Triangle Park, North Carolina (1977–1980). Amy moved to Basel, Switzerland, in 1981 to join Ciba-Geiby/Novartis AG, where she worked for 42 years (1981–2023) across different therapeutic areas and stages of drug development, applying her skills in advanced statistical and pharmacometric methodologies that led to the development of large number of new drugs. During her career, she was also a Visiting Professor at the Department of Mathematics, Imperial College London (1995–1997) and a Volunteer Statistical Expert at Bill & Melinda Gates Foundation, Seattle, Washington (2015–2019). Amy Racine-Poon's numerous honors include the Royal Statistical Society Greenfield Industrial Medal for Innovative Use of Statistics in the Industries (1995), Fellow of the American Statistical Association (1997), Novartis Distinguished Scientist Award (1999), American Statistical Association Youden Interlaboratory Research Award (2020) and the Sheiner-Beal Pharmacometrics Award (2024) from the American Society of Clinical Pharmacology and Therapeutics. The following conversation took place between Oleksandr Sverdlov (Alex) and Amy Racine-Poon (Amy) in October 2024.</b></p>\\n </div>\",\"PeriodicalId\":14479,\"journal\":{\"name\":\"International Statistical Review\",\"volume\":\"93 2\",\"pages\":\"183-198\"},\"PeriodicalIF\":1.8000,\"publicationDate\":\"2025-01-06\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Statistical Review\",\"FirstCategoryId\":\"100\",\"ListUrlMain\":\"https://onlinelibrary.wiley.com/doi/10.1111/insr.12605\",\"RegionNum\":3,\"RegionCategory\":\"数学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"STATISTICS & PROBABILITY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Statistical Review","FirstCategoryId":"100","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1111/insr.12605","RegionNum":3,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"STATISTICS & PROBABILITY","Score":null,"Total":0}
引用次数: 0
摘要
Amy Racine-Poon教授以其在制药行业和医疗保健领域的应用贝叶斯统计学家的跨学科贡献而闻名。她出生于香港,1970年毕业于香港中文大学,获得数学高级学士学位。她在Erich L. Lehmann的指导下获得了加州大学伯克利分校的统计学博士学位。1975年至1977年,她在加州大学伯克利分校统计学系担任讲师,1977年至1980年,她在北卡罗来纳州三角研究公园国家环境卫生研究所生物计量科担任统计学家。1981年,Amy搬到瑞士巴塞尔,加入Ciba-Geiby/Novartis AG,在那里她工作了42年(1981 - 2023),跨越不同的治疗领域和药物开发阶段,运用她在先进统计和药物计量方法方面的技能,开发了大量新药。在她的职业生涯中,她还担任过伦敦帝国理工学院数学系客座教授(1995-1997)和Bill &;梅琳达·盖茨基金会,西雅图,华盛顿(2015-2019)。Amy Racine-Poon的众多荣誉包括皇家统计学会Greenfield工业奖章(1995年),美国统计协会会员(1997年),诺华杰出科学家奖(1999年),美国统计协会约登实验室间研究奖(2020年)和美国临床药理学和治疗学学会的Sheiner-Beal药物计量学奖(2024年)。下面的对话发生在2024年10月,亚历山大·斯维尔德洛夫(亚历克斯)和艾米·拉辛-潘(艾米)之间。
Professor Dr. Amy Racine-Poon is best known for her interdisciplinary contributions as an applied Bayesian statistician in the pharmaceutical industry and healthcare. She was born in Hong Kong and obtained a BA with upper honors in Mathematics (1970) from the Chinese University of Hong Kong. She earned a PhD in statistics from the University of California, Berkeley, under the supervision of Erich L. Lehmann. She worked as a Lecturer at the Department of Statistics at UC Berkeley (1975–1977) and as a Statistician at the Biometry Branch of the National Institute of Environmental Health in Research Triangle Park, North Carolina (1977–1980). Amy moved to Basel, Switzerland, in 1981 to join Ciba-Geiby/Novartis AG, where she worked for 42 years (1981–2023) across different therapeutic areas and stages of drug development, applying her skills in advanced statistical and pharmacometric methodologies that led to the development of large number of new drugs. During her career, she was also a Visiting Professor at the Department of Mathematics, Imperial College London (1995–1997) and a Volunteer Statistical Expert at Bill & Melinda Gates Foundation, Seattle, Washington (2015–2019). Amy Racine-Poon's numerous honors include the Royal Statistical Society Greenfield Industrial Medal for Innovative Use of Statistics in the Industries (1995), Fellow of the American Statistical Association (1997), Novartis Distinguished Scientist Award (1999), American Statistical Association Youden Interlaboratory Research Award (2020) and the Sheiner-Beal Pharmacometrics Award (2024) from the American Society of Clinical Pharmacology and Therapeutics. The following conversation took place between Oleksandr Sverdlov (Alex) and Amy Racine-Poon (Amy) in October 2024.
期刊介绍:
International Statistical Review is the flagship journal of the International Statistical Institute (ISI) and of its family of Associations. It publishes papers of broad and general interest in statistics and probability. The term Review is to be interpreted broadly. The types of papers that are suitable for publication include (but are not limited to) the following: reviews/surveys of significant developments in theory, methodology, statistical computing and graphics, statistical education, and application areas; tutorials on important topics; expository papers on emerging areas of research or application; papers describing new developments and/or challenges in relevant areas; papers addressing foundational issues; papers on the history of statistics and probability; white papers on topics of importance to the profession or society; and historical assessment of seminal papers in the field and their impact.