COMPUTATIONAL CANCER BIOLOGY LABORATORY
Our vision is to combine rigorous machine learning, statistics, genomics, and bioengineering techniques to derive principles of cancer initiation, progression, and response or resistance to immunotherapies, directly from patient specimens. Our interdisciplinary research involves developing novel probabilistic and deep generative models and utilizing cutting-edge single-cell genomic and imaging technologies, to characterize complex populations of interacting cells in the tumor microenvironment, as well as their spatial and temporal dynamics and 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, the NIH National Cancer Institute, the NSF, and the Chan Zuckerberg Initiative.
Our vision is to combine rigorous machine learning, statistics, genomics, and bioengineering techniques to derive principles of cancer initiation, progression, and response or resistance to immunotherapies, directly from patient specimens. Our interdisciplinary research involves developing novel probabilistic and deep generative models and utilizing cutting-edge single-cell genomic and imaging technologies, to characterize complex populations of interacting cells in the tumor microenvironment, as well as their spatial and temporal dynamics and 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, the NIH National Cancer Institute, the NSF, and the Chan Zuckerberg Initiative.
