Tianxi Cai is a major player in developing analytical tools for EHR phenotyping and predictive modeling with biomedical data. She provides statistical leadership on several large-scale projects, including the NIH-funded BD2K PIC-SURE Center of Excellence and N-GRID Center for Excellence in Genomic Science to study neuropsychiatric disease at DBMI. In addition to her collaborative work, Cai’s research lab in the Department of Biostatistics at the Harvard T.H. Chan School of Public Health develops novel statistical methods for personalized medicine using genomic and phenomic data.