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    Caleb Chan

    Consultant Research Scientist at Allen Institute for Cell Science

    Caleb Chan is a computational biologist with a background in machine learning and experimental cell biology. He conducted six years of doctoral research focused on studying the motility behavior of human neutrophils. Caleb is skilled in quantitative image analysis, particularly in the use of principal component analysis (PCA) and convolutional neural networks. He is proficient in various programming languages such as Python, MATLAB, R, Java, C++, and Linux. His academic expertise spans machine learning, image analysis, microscopy, biochemical assays, and tissue culture. Caleb has a proven track record of collaborations and publications with peers at different academic levels and has also ventured into entrepreneurial and engineering roles in the high tech sector.

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    Location

    San Francisco Bay Area