Developed a support vector machine algorithm capable of predicting cardiac cancer likelihood from gene expression data with an accuracy of 85%

Implemented 10-fold cross validation in order to determine weight values that would further increase prediction confidence

Developed algorithm used to identify and isolate certain genomic sequences of interest from Whole Genome Sequencing data