Current Research Interests

Dr. Qin develops benchmark data, analytic methods, and computational tools for enabling reproducible statistical translations of high-dimensional biomedical data. With wet-lab colleagues, she has designed and collected unique benchmark datasets to study the issue of data harmonization for microarrays and sequencing. She has built simulation algorithms and software tools to decipher the interactions between data harmonization and subsequent analysis (such as sample classification and survival prediction) and is developing statistical methods to facilitate evidence-based practice of data harmonization. Her research program in reproducible statistical learning for cancer omics data has been supported by multiple completed and ongoing grants awarded by the NIH.

Dr. Qin collaborates with multidisciplinary investigators engaged in research on soft tissue sarcoma and colorectal cancer at MSK, for design and analysis of retrospective and prospective studies. She serves as Co-Director of the Biostatistics and Bioinformatics Core of the MSK Soft Tissue Sarcoma SPORE. Over the years she has also worked with investigators studying the molecular basis of other cancer types such as breast, ovarian, pancreatic, and pediatric cancer.

Dr. Qin is a member of MSK Research Council, reviewing investigator-initiated and industry-sponsored protocols for scientific merit and priority. At the national level, she serves as Council of Sections Representative for the American Statistical Association’s Statistics in Genomics and Genetics Section and Regular Member for the NIH’s ASPA Study Section.