Built a CRISPR target prediction pipeline for heart disease, accepted at two IEEE conferences
Atharv developed a computational framework for predicting safe, high-specificity CRISPR-Cas9 guide RNAs targeting the cardiac remodelling genes MYH7, ACTC1, TNNT2 and NPPA. He retrieved sequences from NCBI GenBank, scanned for SpCas9 PAM sites using Biopython and scored candidate guides through BLAST-based off-target profiling with mismatch heatmapping and specificity scoring. All three tested guides hit roughly 100% editing efficiency, but only gRNA2 targeting MYH7 combined that with the lowest off-target burden.
A high school student self-taught in Python and bioinformatics, interested in genomics but with no prior peer-reviewed research experience.
Built a CRISPR target prediction pipeline for cardiac disease and was accepted at two IEEE international conferences as a high schooler.