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Justin Silverman is an Assistant Professor at the Penn State College of Information Sciences and Technology. He holds an M.D.-Ph.D. in Bioinformatics and Computational Biology from Duke University School of Medicine and a Ph.D. in Biomathematics from Duke University. His research focuses on the application of statistical methods to biomedical data, particularly in the fields of bioinformatics and computational biology. He has expertise in areas such as estimation theory, model misspecification, Bayesian-Frequentist hybrid methods, and causal inference. Additionally, he is interested in the development of methodologies to address challenges in estimation for partially identified models and uncertainty quantification in predictive models. His work has been supported by substantial research funding, including a $2.9 million grant to study the long-term effects of adolescent binge drinking. Justin is committed to advancing the understanding of complex biomedical problems through innovative statistical approaches.
GRE scores are highly recommended but not strictly required for Applied Linguistics.