Statistical and Computational Genomics

Our statistical and computational genomics faculty develop and apply new computational and statistical methods for the study of complex human diseases and traits.

PubMed Search Results

Faculty Research
Jenna Carlson
Jenna C. Carlson

Research: Exploring the genetic archictecture of complex traits, implementation of genotype imputation, methods to detect genetic contributors to phenotypic heterogeneity, considerations for genetic studies in diverse populations. Focus on studies involving orofacial clefts, cardiometabolic disease, and response to traumatic brain injury.

Frank Fan
Kang-Hsien (Frank) Fan

Research: Conducting advanced statistical and bioinformatical analyses in genomics and transcriptomics across various disciplines, including oncology, plant biology, neurology, and human complex diseases. Proficient in quality control and analysis of microarray, bulk sequencing, and single-cell sequencing data.

Ryan Minster
Ryan L. Minster

Research: Genetics of complex traits (body composition, cardiometabolic disease, obesity, healthy aging). The role that genetics plays in phenotypes among the people of Samoa and American Samoa. Genetic determinants of organ damage in individuals with sickle cell disease in Africa. Ethical, legal, and social implications of genetics research.

Fangping Mu
Fangping Mu

Research: Support research as an interface between High Performance Computing (HPC) and health science researchers; Provide consultation on effective usage of high performance computing resources to health science problems; Develop genomics data analysis workflow and selection of pipelines; collaborate with researchers to provide genomics data analysis service to health science researchers.

HJ Park
Hyun Jung (HJ) Park

Research: We develop data-science techniques, AI-driven tools, and statistical inference methods and analyze large-scale data to elucidate biological dynamics for complex diseases, such as cancer and sepsis.

Shaffer
John R. Shaffer

Research: Application of statistical and bioinformatics approaches to understand the genetic contributors to common complex human diseases. Studies of oral health, craniofacial phenotypes, and epigenomics.

Dan Weeks
Daniel E. Weeks

Research: Statistical genetics, genetics of complex disease, epigenetics. Areas of application include adiposity, recovery from brain injury, breast cancer.