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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.
We study mutational processes that drive cancer evolution and treatment resistance.
The Pertsinidis laboratory uses single-molecule approaches to understand gene transcription and the function of complex macromolecular machines inside live cells.
Cancer biologist Andrea Ventura studies non-coding RNAs in cancer and development
Cancer biologist and pediatric oncologist Alex Kentsis leads research in the functional proteomics and molecular pharmacology of refractory childhood cancers.
Molecular biologist Prasad Jallepalli studies the mechanisms that ensure accurate chromosome transmission in human cells.
Computational biologist Christina Leslie focuses on developing machine learning algorithms for computational and systems biology.
The Tulpule lab studies how cells compartmentalize critical cellular processes with a focus on biomolecular condensates in cancer.
Chemical biologist Daniel Bachovchin designs selective inhibitors to study enzymes and pathways in cancer and immune system signaling.