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Our team is focused on developing novel tools and approaches for the diagnosis and treatment of cancer using genomics as a guide.

… Our team is focused on developing novel tools and approaches for the diagnosis and treatment of cancer using genomics as a guide. Luis Diaz Jr., MD Head of the Division of Solid Tumor Oncology; Grayer Family Chair MD, University of Michigan Email [email protected] Office phone 646-888-4641

Arvin Dar’s lab develops chemical tools and probes to explore disease mechanisms and the structural biology of cancer targets.

… The Dar laboratory explores cancer mechanisms and new approaches in chemical biology. Our research integrates genetics, biochemistry, structure, and small molecule discovery. Our primary goal is to develop tools that enable us to modulate cell signaling networks, allowing for in-depth mechanistic exploration

Molecular and cell biologist Christine Mayr studies how 3′UTRs regulate protein functions and how mRNAs contribute to cytoplasmic organization.

… My laboratory studies the regulatory and structural roles of mRNAs in the cytoplasm. My laboratory studies the regulatory and structural roles of mRNAs in the cytoplasm. Specifically, we investigate how 3′UTRs regulate protein functions in a manner that is independent of protein abundance. We found that

The Lima laboratory studies mechanisms underlying RNA processing as well as post-translational protein modification by ubiquitin-like proteins.

… We are a research laboratory that studies fundamental structural, biochemical, and functional attributes for macromolecules involved in post-translational protein modification by ubiquitin and ubiquitin-like proteins such as SUMO, and pathways that contribute to co- and post-transcriptional RNA maturation

Systems biologist Thomas Norman develops new computational and functional genomics approaches for studying how genes interact to realize complex phenotypes.

… The Norman Lab aims to combine large-scale functional genomics experiments with computational modeling to enable rational engineering of cell state. Our primary model system is the fibroblast, a ubiquitous and phenotypically plastic cell type that plays a role in diverse pathologies. We played a foundational

The Shah lab focuses on the major topics of cancer evolution, single cell genomics and transcriptomics, mutational processes and prediction of drug response.

… The Shah lab focuses on the major topics of cancer evolution, single cell genomics and transcriptomics, mutational processes and prediction of drug response. We are interested in the major questions which underpin the cellular dynamics of cancer. Why do some cancer patients respond to treatment, while

Radiochemist Jason Lewis develops molecular imaging agents for the imaging and therapy of cancer.

… The Lewis lab research interests are focused on the development of radiopharmaceuticals for targeted diagnosis and treatment of cancer. By combining small- and biomolecule-based targeting agents with positron-emitting or therapeutic radioisotopes, we can interrogate molecular profiles of cancer using

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,

Immunologist Jayanta Chaudhuri studies the mechanisms of immunoglobulin gene diversification.

… Laboratory of Molecular and Cellular Immunology Recombination, genomic integrity, and heterogeneity in B cells   scientific diagram Jayanta Chaudhuri, PhD Professor PhD, Albert Einstein College of Medicine Email [email protected] Laboratory phone 646-888-2334 Laboratory phones 646-888-2614|Lab Phone

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