Chuan Ding

Chuan is an incredibly talented data scientist that has designed multiple relational databases with millions of records, previously a Machine Learning Engineer at the famed Broad Institute of Harvard and MIT, MIT-Broad Foundry. He developed the CNN neural network model implemented in Python using the Lasagne library with images as input to extract high-level features from the neighboring positions and created an image-analyzing program that helped identify useful biological reactions in an emulsion droplet with a size of only 10 microns. Colleagues are still praising his legendary scripts that automatically retrieve a large amount of data from NCBI as of this day.

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