Dr. Lin is a Pharmacoepidemiologist in the Division of Pharmacoepidemiology and Pharmacoeconomics at the Brigham and Women’s Hospital and a practicing hospitalist at the Massachusetts General Hospital. He is an Assistant Professor at Harvard Medical school and the Executive Director of the Mass General Brigham (MGB) Center for Integrated Healthcare Data Research. In this role, he has built a highly valuable research database, linking multiple health insurance claims data with a variety of clinical data from electronic health records (EHR) of the MGB institutions. Principal Investigator (PI) of multiple NIH-funded research projects integrating EHR with claims data for high-validity comparative effectiveness research (CER): 1) He has developed and validated an algorithm to identify a high data-completeness cohort to reduce the information bias resulted from missing medical information recorded outside of the study EHR system and demonstrated this sub-cohort is representative of the remaining population (1R01LM012594). 2) He is leading an NIH-funded research project (1RF1AG063381/1R01AG063381) aiming to determine the optimal anticoagulation strategy to prevent stroke in older adults with dementia and other high-risk features. 3) He is PI of an NIH-funded Ro1 project (1R01LM013204) to develop a data-adaptive analytical framework for reducing confounding bias in studies that leverages a large amount of patient information recorded in the free-text clinical notes and reports for confounding adjustment in CER.