About
Seth Amano is a Master of Science student in Data Science in Biomedicine at UCLA. He has a strong interest in applying machine learning, bioinformatics, and statistical modeling to advance precision medicine and biomedical research. Seth’s prior research has involved the analysis of bulk and single-cell RNA sequencing datasets, multiomic data integration, differential gene expression analysis, and cell-type characterization in both mouse models and human patient samples for Arboleda-Tham and KAT6B Syndrome. Seth earned a BS in Computational and Systems Biology from UCLA and is currently pursuing an MS in Data Science in Biomedicine at UCLA.