Explore the biomedical informatics research labs in the Department of Biomedical Informatics. Our labs bring together faculty, students, clinicians, and data scientists to advance discoveries at the intersection of health, data science, and technology. Each lab is led by a principal investigator (PI) and focuses on areas such as artificial intelligence in healthcare, clinical informatics, biomedical data science, digital health, and translational informatics.
Use this directory to learn about each lab’s research focus, meet the faculty investigators leading these efforts, explore ongoing projects, and find opportunities for collaboration, training, and partnership.
Researchers in the Claw Lab focus broadly on personalizing medicine, using genetic information and biomarkers for tailored treatment, in relation to pharmacogenomics. They also research deeper understandings of ethical, cultural, and social implications of genomic research within populations.
Researchers in the Julian Lab focus primarily on the mechanisms underlying human adaptation to the chronic hypoxia of high altitude and, in particular, how these processes influence pregnancy outcome and the long-term health of affected offspring using the natural laboratory of high altitude.
The LAnguage, Reasoning, and Knowledge (LARK) Lab is led by Yanjun Gao, PhD. By developing foundational technologies and conducting cutting-edge research in natural language processing (NLP) with innovative artificial intelligence (AI), the lab is dedicated to creating powerful tools that tackle critical healthcare challenges and integrate seamlessly into healthcare systems.
Researchers in the Norman Lab focus on immunogenetics, which is the genetic variation that underpins our differential responses to infection and autoimmunity. In particular, the lab studies the co-evolution of HLA molecules that are expressed by most healthy cells, and the Natural Kill (NK) cell receptors that interact with HLA to control the immune response.
Researchers in the Stanislawski Lab study the molecular epidemiology of cardiometabolic disease, obesity, and other inflammatory conditions, particularly the role of the microbiome and its interactions with other omic profiles in diverse human populations. The lab also investigates how omic profiles relate to responsiveness during weight loss and exercise interventions.
Researchers in the Stranger Lab study human genetics, bioinformatics, statistical analysis of multidimensional data, and cutting-edge computer science to unravel the complexities of health and disease. They develop methods to identify and interpret context-specific genetic effects and advance discoveries on the impact of sex and gender on the genetics of complex traits.