Bioinformatics Doctoral Candidate, UCSF
Charlotte Nelson completed her undergraduate studies at the University of California, Santa Cruz where she earned degrees in Biochemistry and Bioinformatics. During her time in Santa Cruz she researched the ribosome in Dr. Harry Noller’s lab. Her work centered on the dynamic movements and functions of molecular machines and inspired her interest in the molecular level aspects of translational medicine. In 2015, Charlotte began her graduate studies in Bioinformatics at the University of California, San Francisco where she joined Dr. Atul Butte and Dr. Sergio Baranzini’s labs. For her research, Charlotte has merged over five decades of biomedical research with Electronic Health Records to create novel patient barcodes. These patient barcodes are being used to stratify patients into a disease landscape. The disease landscape can be used as a tool for uncovering novel biological level information, diagnosing patients, predicting patient trajectories, and designing tailored treatments.
Graph Networks Bring Knowledge To Point of Care
Medical providers are flooded with basic science research data. Understanding the fi-ne-grained relationships between these data “entities” powers Web Search. Such “graph net-works” are untapped by biomedicine, and the implicit “knowledge” lost. We present a Knowledge Network that allows practitioners to ask for deep insights at the point of care.