Summary
Yashwin Madakamutil is a bioengineering graduate researcher at UC San Diego with a decade of hands-on experience bridging computational biology and wet-lab techniques. Currently developing a classifier for homologous recombination deficiency in breast and ovarian cancers, he combines Python/R data analysis, RNA-seq/CLIP-seq pipelines, and assay optimization to translate genomic signals into actionable insights. His background spans immunology and regenerative medicine research, pharmacogenomics assay development, and practical lab skills from cell culture to PCR, reflecting a rare mix of coding fluency and experimental rigor. He also coaches high school water polo, demonstrating leadership and team-building outside the lab. Colleagues value his ability to streamline analysis workflows—one internship project increased pipeline efficiency by 40%—and his curiosity for how RNA-binding proteins and alternative splicing shape cancer biology.
10 years of coding experience
2 years of employment as a software developer
Master of Science - MS, Bioengineering and Biomedical Engineering, Master of Science - MS, Bioengineering and Biomedical Engineering at UC San Diego Jacobs School of Engineering
University of California, San Diego
High School Diploma, High School Diploma at Canyon Crest Academy
English, Hindi, Spanish