KDD 2024 - Keynote: Empower an End-to-End Scalable and Interpretable Data Science Ecosystem using...

Описание к видео KDD 2024 - Keynote: Empower an End-to-End Scalable and Interpretable Data Science Ecosystem using...

Xihong Lin, Harvard University

Title: Empower an End-to-End Scalable and Interpretable Data Science Ecosystem using Statistics, AI and Domain Science

Bio: Xihong Lin is Professor and former Chair of Biostatistics, and Coordinating Director of the Program in Quantitative Genomics at Harvard School of Public Health, and Professor of Statistics at Harvard University. Dr. Lin works on the development and application of statistical and machine learning methods for analysis of big and complex genomic and health data, such as large scale whole genome sequencing (WGS) studies and multi-ethnic biobanks, Electronic Health Records, and whole genome variant functional annotations. The methods and tools her lab has developed have been widely used in analyzing WGS and biobank data, including the Trans-Omics Precision Medicine Program (TOPMed) of the National Heart, Lung, and Blood Institute (NHLBI), the Genome Sequencing Program of the National Human Genome Research Institute (NHGRI), the UK biobank, and the NIH All of Us Program. Dr. Lin was elected to the US National Academy of Medicine in 2018 and the US National Academy of Sciences in 2023. She received the 2002 Mortimer Spiegelman Award from the American Public Health Association, the 2006 Presidents’ Award from the Committee of Presidents of Statistical Societies (COPSS). She also received the 2017 COPSS FN David Award, the 2022 National Institute of Statistical Sciences Sacks Award for Outstanding Cross-Disciplinary Research, and the 2022 Zelen Leadership in Statistical Science Award. She is an elected fellow of American Statistical Association, Institute of Mathematical Statistics, and International Statistical Institute. Dr. Lin’s research has been supported by the MERIT Award (2007-2015) and the Outstanding Investigator Award (2015-2029) from the National Institute of Health. Dr. Lin is the former Chair of COPSS and the former Editor of several biostatistical journals. She has served on several US National Academies committees.

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