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Physician-scientist Yu Chen studies the role of transcription factors that are critical for prostate cancer development.

… The major goal of my laboratory is to understand how critical transcription factors mediate prostate cancer oncogenesis. Prostate cancers uniquely harbor very few mutations in well-known driver oncogenes (e.g., RAS, BRAF, etc.). Instead, they are characterized by aberrations in transcription factors,

The Tansey lab focuses on solving frontier problems in cancer data science through the development of innovative statistical machine learning methods.

… The Tansey lab focuses on solving frontier problems in cancer data science through the development of innovative statistical machine learning methods. How do we discover effective combination therapies when the search space of possible combinations is vast? Are there patterns of spatial architecture

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.

… The Pe’er lab is an interdisciplinary group that combines advanced genomics approaches with machine learning to address fundamental questions in biomedical science. Empowered by potent technologies such as single-cell genomics and imaging-based molecular profiling, we analyze complex data to understand

… About the Scott Lowe Lab Cancer biologist Scott Lowe uses genetically engineered mouse models to study how the genetic alterations in cancer cells contribute to tumorigenesis, alter treatment response, and create molecular vulnerabilities that may be targeted therapeutically. Cancer arises through an

The Baylies laboratory studies the mechanisms that form and maintain muscle both during normal development and in disease.

… Developmental biologist Mary Baylies studies the mechanisms that form and maintain muscle both during normal development and in disease.   Mary Baylies, PhD Professor PhD, The Rockefeller University Achievements Identified that global, regional, and local inputs contribute to nuclear size regulation

Computational biologist Quaid Morris uses artificial intelligence techniques and develops machine learning algorithms to study gene regulation, cancer evolution, clinical informatics, and other topics in systems biology.

… Our lab uses machine learning and artificial intelligence to do biomedical research, focusing on cancer evolution, gene regulation, clinical informatics, and gene function prediction. A key interest is the role of RNA-binding proteins (RBPs) in post-transcriptional regulation. We focus on developing

Physician-scientist Alan Hanash studies transplant immunology and immune-mediated mechanisms of tissue damage and regeneration.

… Alan Hanash is an Associate Member of Memorial Sloan Kettering and an Attending Physician on the Adult Bone Marrow Transplant Service in the Department of Medicine. Dr. Hanash’s research focuses on the immunology of hematopoietic transplantation and immune-mediated mechanisms of tissue damage and regeneration

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

… The focus of the Berger laboratory is to use novel computational and experimental techniques to characterize the spectrum of genetic mutations in human tumors in order to identify biomarkers of cancer progression and drug response. The identification of molecular drivers of cancer and the development

Systems biologist Joao Xavier combines experimental and computational approaches to study diverse problems relevant to cancer: how the microbiome influences cancer and cancer treatment, how cancer cells metastasize, and how metabolic fluxes command the behavior of living cells.

… We combine computation and experiment to investigate how cells interact with each other to produce complex cell group behaviors. Joao Xavier, PhD Member, Computational & Systems Biology Program Professor PhD, Universidade Nova de Lisboa Achievements Director's New Innovator Award, National Institutes

Physician-scientist David Solit studies human oncology and pathogenesis, genomics, oncogenes and tumor suppressors, cancer therapeutics, and clinical trials.

… Our research is based on the underlying hypothesis that the ability to inhibit an oncogenic pathway and block cancer growth will vary based on cell lineage and the complement of mutations within the tumor. To design rational therapeutic studies, we must define not only the spectrum of genetic changes