Fang Lo is a Principal Scientist in Computational Biology with 11+ years of experience translating high-throughput genomics and multi-omics data into production-ready tools that accelerate therapeutic discovery. He has a unique blend of systems biology PhD training and electrical engineering underpinnings, enabling him to build scalable NGS pipelines, automated antibody library design tools, and rigorous QC metrics that improve assay performance. At Generate Biomedicines and previously at TwinStrand, he has led and grown bioinformatics teams while delivering measurable efficiency gains and publications from complex oncology, mutagenesis, and genomics programs. Fang routinely bridges wet-lab and computational groups—mentoring cross-disciplinary teams and turning experimental goals into deployable software used in R&D and production. He is comfortable shipping Python/R packages and production-level analytics, and his work has driven partnerships and business outcomes beyond pure research. Driven by precision medicine, he excels at aligning technical, experimental, and executive stakeholders to speed decision-making and innovation.
11 years of coding experience
8 years of employment as a software developer
Ph.D. Molecular and Cellular Biology / Systems Biology, Ph.D. Molecular and Cellular Biology / Systems Biology at University of Washington
M.Sc. Biochemistry and Molecular Biology, M.Sc. Biochemistry and Molecular Biology at National Taiwan University
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Fang Lo - Principal Scientist, Computational Biology