Posts by Tian Ge, PhD
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Novel Polygenic Method Developed to Predict Genetic Liability of Traits and Disorders
In simulated and real-data analyses, a novel Bayesian method of polygenic prediction consistently outperformed existing methods across a wide range of genetic architectures.
Biography
Tian Ge, PhD, is an applied mathematician and biostatistician who works at the intersection of neuroimaging science, genetics and statistics. His current research focuses on developing statistical and computational methods to integrate large-scale imaging and genomic data. Dr. Ge received his BS in mathematics and PhD in applied mathematics from Fudan University, and a PhD in computer science from University of Warwick. He did his postdoctoral training under the mentorship of Dr. Mert Sabuncu and Dr. Smoller at Mass General and Harvard Medical School. He is currently a junior faculty member at PNGU and is also affiliated with the Athinoula A. Martinos Center for Biomedical Imaging at Mass General.
Learn more on Dr. Ge's personal webpage.
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