Andrew Chen, a doctoral candidate in the Department of Biostatistics, Epidemiology and Informatics at the University of Pennsylvania and faculty candidate in the Division of Biostatistics and the Masonic Institute for the Developing Brain, will present: "Mitigating Site Effects in Covariance for Machine Learning in Neuroimaging Data" Abstract: To acquire larger samples for answering complex questions in neuroscience, researchers have increasingly turned to multi-site neuroimaging studies. However, these studies are hindered by differences in images acquired across multiple sites. These effects…

Zoe Guan, a Research Scholar in the Department of Epidemiology and Biostatistics at Memorial Sloan Kettering Cancer Center and faculty candidate in the Division of Biostatistics and the Masonic Institute for the Developing Brain, will present: "Predicting Cancer Risk from Genetic Information" Abstract: Most cancer types have a substantial heritable component. Family history and/or DNA sequencing data can be used to identify individuals at high risk of cancer, which is key to reducing morbidity and mortality through targeted interventions. In…

Erika Helgeson, of the Coordinating Centers for Biometric Research in the Division of Biostatistics at the University of Minnesota, will present: "Evaluating Long-Term Risks of Living Kidney Donation" Abstract: For a patient with end- stage kidney disease, a living donor kidney transplant is the best treatment option. However, living donors must undergo a major operative procedure and the potential for adverse long-term consequences of living with a single kidney. Quantifying the long-term risks of kidney donation is complicated by the…