Yuxin Pan

• Applied computational design tools (Chai-1, AlphaFold3, RFdiffusion, Protein MPNN) to engineer enhanced biosensor scaffolds and improve binder–target interactions. • Developed and optimized mammalian cell–based assays to characterize engineered fluorescent biosensors. • Integrated structural prediction and backbone/sequence design with experimental screening to guide affinity and performance improvements. • Collaborated with multidisciplinary teams to troubleshoot complex assay, expression, and folding challenges.

• Executed phage display, yeast display, and mammalian display selections (FACS) to identify high-affinity synthetic protein binders (single-domain antibody scaffolds) against small molecules and peptide targets. • Engineered and optimized genetic libraries (mutagenesis, combinatorial libraries) to evolve enhanced affinity and specificity. • Developed and validated mammalian library–based screening workflows, including surface display (pDisplay), fluorescence assays, and functional biosensor readouts. • Performed genetic engineering of synthetic protein binders and integrated them into genetically encoded fluorescent biosensors. • Designed and performed cell-based assays (HEK293T expression, live-cell imaging, confocal microscopy) to characterize engineered proteins. • Conducted sequence analysis, QC of library diversity, and interpretation of enrichment trends.