Huilin Li is a Professor in the Department of Population
Health at NYU Grossman School of Medicine. She received her B.S. in Accounting from
Nankai University in 2001 and earned her M.A. and Ph.D., both in Mathematical
Statistics, from the University of Maryland in 2004 and 2007, respectively. She
is also a member of the American Statistical Association (ASA), the Eastern
North American Region/International Biometric Society (ENAR), and the International
Chinese Statistical Association (ICSA). Her central research focus is to
develop and apply innovative statistical methods to solve challenging data
analysis problems in three biomedical research areas: (1) high-throughput
metagenomics/microbiome/genetics data analysis, (2) complex survey methodology,
and (3) biomedical collaborative research.
Huilin Li is a Professor in the Department of Population
Health at NYU Grossman School of Medicine. She received her B.S. in Accounting from
Nankai University in 2001 and earned her M.A. and Ph.D., both in Mathematical
Statistics, from the University of Maryland in 2004 and 2007, respectively. She
is also a member of the American Statistical Association (ASA), the Eastern
North American Region/International Biometric Society (ENAR), and the International
Chinese Statistical Association (ICSA). Her central research focus is to
develop and apply innovative statistical methods to solve challenging data
analysis problems in three biomedical research areas: (1) high-throughput
metagenomics/microbiome/genetics data analysis, (2) complex survey methodology,
and (3) biomedical collaborative research.