This talk will discuss how modern data mining techniques can be imported into statistical genetics. Most relevant models now invoke high-dimensional optimization. Penalization and set projection give sparsity. Separation of variables gives parallelization. Time permitting, these ideas will be illustrated by several examples: estimation of ethnic ancestry, genotype imputation via matrix completion, conversion of imputed genotypes into haplotypes, matrix completion discriminant […]