a) Warren Ewens Evolutionary population genetics and mathematical methods in human genetics.
b) Shane Jensen Statistical models for evolution of genomic sequences and models for combining heterogeneous data sources.
c) Junhyong Kim Evolution of gene regulation and developmental systems, whole-genome expression regulations and evolution of the transcriptome, dynamics of whole-genome gene expression, protein structure evolution, phylogenetic estimators, comparative genomics and molecular evolution.
d) Hongzhe Li Statistical, probalistic, and computational methods for genetic and genomic data analysis.
e) Elchanan Mossel Molecular evolution, and phyllogeny.
f) Arjun Raj
g) Dylan Small Applications of statistics to public health, design and analysis of experiments and observational studies for comparing treatments.
h) Lyle Ungar Multi-view learning for gene expression.