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Arvin Dar’s lab develops chemical tools and probes to explore disease mechanisms and the structural biology of cancer targets.
Molecular and cell biologist Christine Mayr studies how 3′UTRs regulate protein functions and how mRNAs contribute to cytoplasmic organization.
The Lima laboratory studies mechanisms underlying RNA processing as well as post-translational protein modification by ubiquitin-like proteins.
Systems biologist Thomas Norman develops new computational and functional genomics approaches for studying how genes interact to realize complex phenotypes.
The Shah lab focuses on the major topics of cancer evolution, single cell genomics and transcriptomics, mutational processes and prediction of drug response.
Radiochemist Jason Lewis develops molecular imaging agents for the imaging and therapy of cancer.
Physician-scientist Yu Chen studies the role of transcription factors that are critical for prostate cancer development.
Immunologist Jayanta Chaudhuri studies the mechanisms of immunoglobulin gene diversification.
The Tansey lab focuses on solving frontier problems in cancer data science through the development of innovative statistical machine learning methods.
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.