Summary
Pak Yu is a Research Bioinformatician II with nine years of cross-sector experience translating molecular biology questions into robust computational workflows, currently focused on gene regulation in epithelial ovarian cancer and endometriosis at Cedars-Sinai. He blends hands-on sequencing pipeline development (bulk and single-cell RNA-seq, Visium spatial, CUT&Tag, Hi-C) with data engineering for HPC and cloud, and has led pilots introducing new NGS assays into translational studies. Comfortable partnering with clinicians and bench scientists, he documents best practices, manages genomic data lifecycles for public repositories, and mentors undergraduate analysts. Earlier roles in CLIA-focused DevOps and biomedical curation sharpened his quality-driven approach to reproducible pipelines and clinical-grade data handling. He pairs formal training in bioinformatics and molecular biology (MSc, UCLA BS) with practical lab experience, giving him rare fluency across experiments, computation, and clinical workflows. Colleagues rely on him not only for technical delivery but also for fostering cross-disciplinary collaboration through regular computational biology forums.
9 years of coding experience
7 years of employment as a software developer
Stanford Continuing Studies
Master of Science - MS Bioinformatics with System Biology, Master of Science - MS Bioinformatics with System Biology at Birkbeck, University of London
University of California, Los Angeles
Certificate Computing skills for scientists, Certificate Computing skills for scientists at City College of San Francisco
English, Chinese