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Maya Ramchandran is a Senior Data Scientist at DELFI Diagnostics, with a robust background in developing machine learning methods for cancer prediction using genomic and clinical data. Previous experience includes a role as a Data Scientist at Zephyr AI, where important work was conducted on cancer prediction, and a Ph.D. candidate at Harvard University focused on tree-based ensembling strategies for heterogeneous data related to cancer. Maya's dissertation research and papers have contributed significantly to the field, with notable presentations at conferences such as the Pacific Symposium on Biocomputing. Additional experience includes internships and collaborations at prestigious institutions such as Dana-Farber Cancer Institute and Brown University, complemented by a strong educational foundation with degrees in Biostatistics, Violin Performance, and Applied Mathematics - Biology.