UAB Statistical Genetics Post-Doctoral Training Program

Abstract

The post-doctoral training program at the University of Alabama supports a structured but flexible training program that offers 2-3 year fellowships to prepare post-doctoral scientists for careers in statistical genetics and heart, lung and blood (HLB) related research and emphasizes growth of an independent and creative research program. Trainees must have a future goal of an investigative career. The program aims to develop independent rigorous investigative skills through regular participation in research, courses, and didactic seminars. Training is provided in foundations of statistical genetics/genomics and state-of-the-art computational tools in genetic analysis. Applied experience is provided via HLB-related investigative programs at the University of Alabama at Birmingham (UAB). The post-doctoral training program is designed for students with Ph.D.s in the statistical, mathematical, computational, or biological sciences who seek training at the interface between statistical and molecular genetics. Criteria for selection include demonstrated research ability in statistics or relevant scientific discipline, interest and (to a lesser degree) experience in project areas, strength in computation, strength in verbal and written communication, and genuine commitment to methodological and cross-disciplinary research in quantitative genetics.

Areas of Special Emphasis

Association and Linkage Disequilibrium analysis of complex traits, Analysis of large complex pedigrees, Microarray analysis, Bayesian methods in gene mapping, Analysis of admixed populations, Analysis of experimental crosses, Selection in complex traits, Copy number variations, Epigenomics.

Type of Training: Post-doctoral

Key Faculty Available as Preceptors

Allison, David B., Ph.D., Department of Biostatistics, Clinical Nutrition Research Center Obesity, Quantitative Genetics, Clinical Trials, and Statistical and Research Methodology

Beasley, T. Mark, Ph.D., Department of Biostatistics Statistical Genetics, Nonparametric Statistics, Simulation Studies, Linear Models, Longitudinal Analysis, Genetic Admixture, Psychometrics, Multivariate Analysis

Fernández, José, Ph.D., Department of Nutrition Sciences Population Structure, Genetics of Obesity

Gao, Guimin, Ph.D., Department of Biostatistics Fine mapping of Quantitative Trait Loci (QTL), Complex Disease Gene in Pedigrees, Population Structure, Haplotype Inference

Liu, Nianjun, Ph.D. Department of Biostatistics Linkage disquilibrium, admixture, structured association testing, haplotype analysis

Lou, Xiang-Yang, Ph.D. Department of Biostatistics Statistical Genetics, Bioinformatics

Redden, David, Ph.D., Department of Biostatistics Multi-Site Clinical Trials, Longitudinal Analysis, Categorical Models, Genetic Heterogeneity in Genetic Association Studies

Tiwari, Hemant K., Ph.D., Department of Biostatistics Disequilibrium Mapping, Genome-wide Association Studies, Structural Variation, Epigenetics, Population Genetics, Molecular Evolution, Bioinformatics, Missing Data

Yi, Nengjun, Ph.D., Department of Biostatistics Bayesian Statistics, Model Selection, Monte Carlo Markov Chain Algorithms; Statistical and Computational Methods for Identifying Multiple Interacting Genes for Complex Traits

Zhang, Kui, Ph.D., Department of Biostatistics Haplotype Mapping in Population and Pedigree data, Association and Linkage Disequilibrium

Last updated: July 2009

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