IMS Fellow Xihong Lin was among those elected as members of the National Academy of Medicine (NAM), one of the three United States Academies, along with Science and Engineering. Election to the Academy is considered one of the highest honors in the fields of health and medicine and recognizes individuals who have demonstrated outstanding professional achievement and commitment to service.
Xihong Lin is the Henry Pickering Walcott Professor of Biostatistics, professor of statistics, and coordinating director of the Program in Quantitative Genomics at Harvard T.H. Chan School of Public Health. She was elected for her “contributions to statistics, genetics, epidemiology, and environmental health through influential and ingenious research in statistical methods and applications in whole-genome sequencing association studies, gene-environment, integrative analysis, and complex observational studies.”
“This distinguished and diverse class of new members is a truly remarkable set of scholars and leaders whose impressive work has advanced science, improved health, and made the world a better place for everyone,” said NAM President Victor J. Dzau. “Their expertise in science, medicine, health, and policy in the U.S. and around the globe will help our organization address today’s most pressing health challenges and inform the future of health and health care. It is my privilege to welcome these esteemed individuals to the National Academy of Medicine.”
New members are elected by current members through a process that recognizes individuals who have made major contributions to the advancement of the medical sciences, health care, and public health.
Also elected to NAM from the statistics community were the following people:
Francesca Dominici, Clarence James Gamble Professor of Biostatistics, Population, and Data Science at Harvard T.H. Chan School of Public Health, and co-director of the Harvard Data Science Initiative, for “developing and applying innovative statistical methods to understanding and reducing the impact of air pollution on population health.”
John P.A. Ioannidis, C.F. Rehnborg Professor in Disease Prevention, professor of medicine, health research and policy, biomedical data science, and statistics, and co-director of Meta-Research Innovation Center at Stanford University, for “his dedication to rigorous, reproducible, and transparent health science, for his seminal work on meta-research, for his calls for quality in evidence, and for the positive impact it has had on the reliability and utility of scientific information throughout the sciences.”
Bradley A. Malin, professor and vice chair, biomedical informatics, and professor of biostatistics and computer science, Vanderbilt University, for “contributions in natural language de-identification, guiding both national and international policies around research protection and enabling broad sharing and reuse of health and social data at an unprecedented scale.”
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