The research interests in the Sperling Lab are Earth history and the evolution of life, and the interactions between the biosphere and the geosphere.

The Boettiger lab aims to understand how long-range interactions between non-consecutive parts of the genome are regulated to control gene expression.

Dr. Ye's professional interest is to investigate the causes and consequences of the abnormal metabolic phenotypes of cancer cells in response to microenvironmental stresses such as hypoxia and nutrient deprivation, with the prospect that therapeutic approaches might be developed to target these metabolic pathways to improve cancer treatment.

Dr. Labaree is a sociologically oriented historian of education who seeks to explore some of the major processes and patterns that define the relationship between education and society in the United States.

Dr. Hynes is a leading expert on the development of dopaminergic neurons, critical nerve cells whose degeneration causes the symptoms of Parkinson’s disease.

The Lee lab is interested in discovering and functionally characterizing new oncogenes and tumor suppressor genes in skin cancer.

Dr. Zou works on a wide range of problems in machine learning (from proving mathematical properties to designing new probabilistic models) and is especially interested in applications in human genomics.

The Bernert Lab focuses on exploring the relationship between sleep, mental health, and emotion. The lab's research program is aimed at advancing our scientific understanding of sleep and emotion, as well as the treatment of insomnia on mental health function and overall well-being, both at the behavioral and neurobiological level.

Dr. Palacios is a statistician interested in mathematical models in evolutionary genomics and estimation of relevant parameters in this field.

The Rivas lab is a new lab based in the Department of Biomedical Data Science, with a focus on population analytics using genomic and phenotype data. They will develop statistical models, algorithms, and computational tools for the analysis of millions of samples