Rate My Professor Matthew Levinson

Matthew Levinson served as a Postdoctoral Fellow in the Xing Lab, associated with the Children's Hospital of Philadelphia and the University of Pennsylvania, from 2013 to 2014. The Xing Lab conducts research in computational biology, machine learning, and statistical methods applied to biomedical problems. Levinson's involvement during this period contributed to advancements in statistical modeling and Bayesian approaches relevant to gene regulation and protein-DNA interactions.

Levinson's scholarly profile indicates expertise in statistics and computational biology. Notable publications include 'Swarm Techniques for Finding Bayesian Optimal Designs for Compartmental Models' (2013), 'A Penalized Bayesian Approach to Predicting Sparse Protein-DNA Binding Landscapes' (2013), 'Penalized Bayesian Model Selection and Prediction for Gene Regulation in Higher Organisms' (2013), 'Genome scan meta-analysis of schizophrenia and bipolar disorder, part I: Methods and power analysis' (2003), 'Segregation, Rent Control, and Riots: The Economics of Religious Conflict in an Indian City' (2008), 'Convergent linkage evidence from two Latin-American population isolates supports the presence of a susceptibility locus for bipolar disorder in 5q31–34' (2006), and genetic linkage maps of the vervet monkey (2007). These works demonstrate impact in statistical design, genetic analysis, and economic studies of conflict.