Epidemiology and Biostatistics
- Michigan State University, Ph.D., 2012
- Peking University, M.S., 2007
- Peking University, B.S., 2003
- Assistant Professor; Indiana University at Bloomington; Aug. 2015 - Present
- Assistant Professor; University of Arkansas for Medical Sciences; Aug. 2012 - July 2015
Dr. Li's research area is within the field of statistical genetics and genetic epidemiology. His research interest has been focused on developing innovative statistical genetics approaches and applying them to various complex human diseases, such as birth defects.
Li M, He Z, Schaid DJ, Cleves MA, Nick TG, and Lu Q. A powerful non-parametric statistical framework for family-based association analyses. Genetics May, 2015; 200(1):69-78.
Li M, Cleves MA, Mallick H, Erickson SW, Tang X, Nick TG, Macleod SL, and Hobbs CA. A genetic association study identifies haplotypes associated with obstructive heart defect. Human Genetics Sep 2014; 133(9):1127-38.
Li M, He Z, Zhang M, Zhan X, Wei C, Elston RC, and Lu Q. A generalized genetic randomfield method for genetic association analysis of sequencing data. Genetic Epidemiology April, 2014; 38(3):242-53
Li M, Erickson SW, Hobbs CA, Li J, Tang X, Nick TG, Macleod SL, and Cleves MA. Detecting maternal-fetal genotype interactions associated with conotruncal heart defects: A haplotype-based analysis with penalized logistic regression. Genetic Epidemiology April 2014; 38(3):198-208.
Li M, Peng R, Wei C, and Lu Q. A u-statistic-based random forest approach for genetic association studies with quantitative traits. Frontiers in Biosciences (Elite
Ed.) Jun. 1, 2012; 4:2707-17.
Li M, Ye C, Fu W, Elston RC, and Lu Q. Detecting genetic interactions for quantitative traits with u-statistics. Genetic Epidemiology Sep. 2011;35(6):457-68;doi: 10.1002/gepi.20594.
Li M, Romero R, Fu W, and Cui Y. Mapping haplotype-haplotype interactions with adaptive lasso. BMC Genetics Aug. 27, 2010; 11:79:doi: 10.1186/1471/2156-11-79.