Zhongyuan Chen, a Visiting Assistant Professor in the Department of Statistics at Purdue University and candidate for a faculty position in the Division of Biostatistics and the Masonic Institute for the Developing Brain, will present: "Data-guided Statistical Methods for Treatment Recommendations, Cancer Association Studies, and Beyond" Abstract: Despite the availability of large amounts of genomic-clinical data, medical treatment recommendations have yet to successfully take good advantage of them. In this talk, I will first introduce a data-guided statistical machine learning…
Find out more »Andrew Chen, a Visiting Assistant Professor in the Department of Statistics at Purdue University 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 have been shown…
Find out more »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…
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