Isaac Joseph
Working on improving Agilent's target enrichment (e.g. exome sequencing) assays via rational/data-driven machine learning techniques.
Received Ph.D. from U.C. Berkeley in 2016 under Lior Pachter and Joseph F. Costello. Focused on creating new machine-learning classification algorithms for cancer genomic data.
B.S. in C.S. from MIT in 2011.
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