Emma Li

- Lead high-throughput R&D initiatives in synthetic biology and antibody discovery platforms - Design and optimize cell-based screening assays to improve scalability, reproducibility, and data quality - Develop R/Python-based pipelines for automation, statistical analysis, and data visualization - Drive cross-functional collaboration across biology, protein engineering, and data science teams to inform experimental strategy

- Designed CRISPR-based functional genomics screens and multi-color flow cytometry assays for immunology and oncology applications - Built computational workflows linking high-dimensional data with bioinformatic analysis - Collaborated on TCR discovery and characterization with protein engineering and translational teams

- Led molecular biology efforts supporting gene expression and spatial transcriptomics platforms - Mentored junior scientists and established best practices for assay validation and data quality - Contributed to technical documentation supporting product development and regulatory processes

- Conducted molecular biology experiments including PCR, cloning, and mammalian cell culture - Developed early R-based scripts for data analysis and reporting