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The Akhmanova laboratory studies cell invasion and migration through tissues, and how it is controlled by surrounding tissue cells.
The Widman Lab within the Digital Oncology Program at MSKCC is using machine learning and genomics to engineer the next-generation of ultrasensitive, highly scalable liquid biopsies for early cancer detection, treatment monitoring, and detection of minimal residual disease (MRD) after surgery for early-stage cancer.
Molecular biologist John Maciejowski studies the causes of complex chromosome rearrangements and the patterns of hypermutation that shape cancer genomes.
The Vardhana Lab studies how nutrient availability, uptake and metabolism regulates host immune responses during cancer development and immunotherapy.
Derek Tan’s lab studies diversity-oriented synthesis and rational drug design of probes and lead compounds for chemical biology and drug discovery.
The Hadjantonakis laboratory studies pluripotency and cell fate specification, tissue patterning and morphogenesis, in mammalian embryos and stem cell-derived embryo models.
Cancer biologist Andrea Ventura studies non-coding RNAs in cancer and development
Cancer biologist Hans-Guido Wendel pursues both disease-centered and basic discovery research. The disease focus is on lymphocyte malignancies and the basic science arm of the lab explores fundamental mechanisms that control aberrant mRNA translation programs in cancer. Work in these two research areas frequently intersects in surprising ways.
We leverage large-scale unbiased profiling including genomics, transcriptomics, proteomics to identify candidate oncogenes and proteins that are pathogenetically relevant in lymphoma.
Computational biologist Ruslan Soldatov develops computational methods to study cell fate decisions and somatic evolution in normal tissues and cancer.