About
Yuka Murakami is a graduate student in UCLA's Data Science in Biomedicine MS program who is interested in advancing drug discovery using modern machine learning methods. She has research experience at several UCLA David Geffen School of Medicine laboratories where she served as an undergraduate researcher for two years. Her recent experience includes developing diagnostic workflows for neurological diseases using whole-genome sequencing and bioinformatics. Additionally, she developed an algorithm to predict novel antisense oligonucleotides for mRNA-targeted therapeutics. Outside UCLA, she was an intern at Element Biosciences in San Diego, CA, where she investigated the hybridization stringency of sequencing primers used in Element's AVITI sequencing platform. She holds a BS in Cognitive Science with Computing, and a minor in Bioinformatics from UCLA. Yuka is most interested in contributing to industry informatics teams by applying machine learning to therapeutic development.