Dr. Zhang extracts actionable insights from genomic data by combining cutting-edge data science techniques with expertise in experiment design and cancer biology. During her data science fellowship at The Data Incubator, she utilized distributed computing, network analysis, and machine learning to reveal patterns within large textual and numerical datasets. She graduated from the Massachusetts Institute of Technology with a B.S. in Physics, and Duke University with a Ph.D. in Genetics and Genomics. In her doctoral work, she developed novel experimental and bioinformatic methods to generate and analyze terabytes of next-generation sequencing data towards understanding the mutational underpinnings of lymphoma.