I am an mRNA and lipid nanoparticle (LNP) process development scientist with 3+ years of industry experience in mRNA-LNP formulation, mixing optimization, enzymatic reactions, preparative chromatography, and membrane filtration sciences with an emphasis on automation, process robustness, and scale feasibility. I have extensive experience in tangential flow filtration (TFF) for nucleic acid drug products, including development of automated small-scale screening systems and GMP-representative scale-down models using flat sheet cassettes, hollow fiber filter modules, and microfluidic membrane chips. I am highly skilled in Design of Experiments (DoE) methodology using JMP to optimize mixing systems across varied geometries, including turbulent T-mixers, impingement jet mixers, and stirred-tank bioreactors. With an educational background in biochemistry and computer science, I am highly passionate about the intersection between experimentation and computation. I am fluent in Python and SQL and have diverse hands-on experience developing machine learning models, data analysis pipelines, and visualization tools to aid bioprocess development. I have been recognized for leading technical TFF training initiatives, partnering cross-functionally to advance innovative nanoparticle characterization strategies, and for my work accelerating data-driven process development cycles using Benchling.