Research Labs

The Bao laboratory investigates how the genome dictates development using C. elegans as a model.

Researcher Michael Berger focuses on massively parallel sequencing of tumor DNA for biomarker discovery and clinical diagnostics.

Computational chemist John Chodera uses statistical mechanics, molecular modeling, and automated biophysical experiments to help identify new potential therapeutics and investigate mechanisms of drug resistance in cancer.

The Greenbaum lab utilizes techniques from statistical physics, information theory, and evolutionary biology to better understand the role of self/non-self discrimination in tumor evolution, model response to immunotherapies, and quantify drivers of virus and cancer evolution.

The Lareau Lab synthesizes computational and experimental genomics methods to study how immune cells in our bodies adapt, expand, differentiate, and evolve over an individual’s lifetime.

Luc Morris is a physician-scientist whose laboratory studies how tumor genetics influence the development of cancer, escape from immune surveillance, and immunotherapy outcomes in cancers of the head and neck and other sites.

Molecular geneticist Elli Papaemmanuil performs systematic interrogations of well-annotated clinical trial cohorts in leukemia and cancer to explore how the compound genetic and clonal architecture in patients' leukemias and tumors dictate clinical phenotype, disease progression, and clinical outcomes.

Computational biologist Dana Pe’er combines single-cell and spatial profiling technologies with machine learning approaches to address fundamental questions in gene regulation, cellular plasticity and cell-cell communication in the contexts of cancer, immunity and development.