Summary
Manali Rupji is a senior biostatistician at Winship Cancer Institute with nine years of experience bridging biostatistics and bioinformatics for cancer research. She specializes in genomic and clustering analyses for small sample sizes, external data validation, and survival modeling, and has developed web-based R/Shiny tools and SAS macros to operationalize complex methods. Manali has a strong track record writing statistical sections for grants and manuscripts and teaching peers through hands-on workshops that disseminate her analytical tools. Her background spans molecular genetics, biotechnology, and biostatistics, enabling her to translate wet-lab questions into robust computational analyses. Colleagues rely on her ability to prioritize strict deliverables while maintaining reproducible, user-friendly software for research teams. An often-overlooked strength is her experience applying bioinformatics methods across both pan-cancer and targeted studies, giving her an unusually broad perspective on genomic variation and clinical outcomes.
9 years of coding experience
Master's Degree, Biostatistics, 3.76, Master's Degree, Biostatistics, 3.76 at Drexel University
Bachelor of Engineering (BE), Biotechnology, 3.97, Bachelor of Engineering (BE), Biotechnology, 3.97 at TSEC
Master's Degree, Molecular Genetics and Biochemistry, 3.61, Master's Degree, Molecular Genetics and Biochemistry, 3.61 at Georgia State University
Hindi, Marathi