I am a trained quantitative biologist and statistician with experience spanning cancer research, vaccine development, and projects focused on improving patient care in collaboration with healthcare providers. In cancer research, I worked with complex genomic and clinical datasets where precision and reproducibility were paramount. In vaccine development, I contributed to studies requiring rigorous statistical design across multiple trial sites. More recently, I have worked alongside physicians, nurses, and other providers to improve patient care, which has deepened my understanding of how data flows between clinical settings and research.
This diverse background has given me deep appreciation for the complexity of biomedical data and the critical importance of reproducible research practices. Currently, I work as a data manager across multiple projects, and my core passion is ensuring every study is built for reproducibility. Whether I am serving as a statistician, data analyst, data manager, or data engineer, my focus remains the same: ensuring every project uses the best available resources, adheres to established best practices, and produces outputs that are transparent, verifiable, and reusable. I continuously stay at the leading edge of methodological and technological development to identify new tools that can improve reproducibility and rigor. When new validated technologies become applicable, I integrate them thoughtfully and without compromising on core principles of sound data management and statistical integrity.
