COMPUTATIONAL CANCER BIOLOGY LABORATORY
Our interdisciplinary research develops novel machine learning techniques and utilizes cutting-edge genomic and imaging technologies, to characterize complex populations of interacting cells in the tumor microenvironment as well as their underlying circuitry.
Our lab is primarily affiliated with the Biomedical Engineering Department and the Irving Institute for Cancer Dynamics (IICD) at Columbia University. We are also affiliated with the Computer Science Department, Data Science Institute and the Herbert Irving Comprehensive Cancer Center. Our work is supported by funding from the NIH National Human Genome Research Institute, NIH National Cancer Institute, NSF, and the Chan Zuckerberg Initiative.
Our interdisciplinary research develops novel machine learning techniques and utilizes cutting-edge genomic and imaging technologies, to characterize complex populations of interacting cells in the tumor microenvironment as well as their underlying circuitry.
Our lab is primarily affiliated with the Biomedical Engineering Department and the Irving Institute for Cancer Dynamics (IICD) at Columbia University. We are also affiliated with the Computer Science Department, Data Science Institute and the Herbert Irving Comprehensive Cancer Center. Our work is supported by funding from the NIH National Human Genome Research Institute, NIH National Cancer Institute, NSF, and the Chan Zuckerberg Initiative.
