Xihong Lin is Professor and Former Chair of the Department of Biostatistics, Coordinating Director of the Program in Quantitative Genomics of Harvard TH Chan School of Public Health, and Professor of Statistics at Harvard University, and Associate Member of the Broad Institute of MIT and Harvard. Dr. Lin’s research interests lie in development and application of scalable statistical and computational methods for analysis of massive data from genome, exposome and phenome, such as large scale Whole Genome Sequencing studies, integrative analysis of different types of data, biobanks, as well as analysis of complex epidemiological and observational studies, and statistical learning methods for big data. She is an elected member of the US National Academy of Medicine. Dr. Lin received the 2002 Mortimer Spiegelman Award from the American Public Health Association, the 2006 Presidents’ Award and the 2017 FN David Award from the Committee of Presidents of Statistical Societies (COPSS), and an elected fellow of the American Statistical Association and the Institute of Mathematical Statistics. She is the recipient of the MERIT Award (R37) (2007-2015) and the Outstanding Investigator Award (R35) (2015-2022) from the National Cancer Institute, and the contact PI of the Harvard Analysis Center of the Genome Sequencing Program of the National Human Genome Research Institute. She has been active in COVID-19 research. She chairs the COPSS-National Institute of Statistical Science (NISS) COVID-19 Data Science Webinar series, jointly organized by all the leading North America Statistical Societies. Dr. Lin is the former Chair of the COPSS (2010-2012). She is the founding chair of the US Biostatistics Department Chair Group, and the founding co-chair of the Young Researcher Workshop of East-North American Region (ENAR) of International Biometric Society. She co-launched the Section of Statistical Genetics and Genomics of the American Statistical Association (ASA). She is the former Coordinating Editor of Biometrics, and the founding co-editor of Statistics in Biosciences. She is the former member of the Committee of Applied and Theoretical Statistics of the US National Academy of Science.