Daniel E. Adkins
Daniel E. Adkins, Ph.D., is Associate Professor of Sociology and Psychiatry, and incoming Chair of the Graduate Program in Statistics, at the University of Utah. He is an interdisciplinary quantitative methodologist working primarily on topics in psychiatric genetics and social epidemiology.
Adkins completed his Ph.D. at the University of North Carolina in 2009 with highest honors, including the Howard W. Odum Award for Excellence. He subsequently completed a postdoctoral fellowship in statistical genetics, and worked as an NIH-funded Assistant Professor, at Virginia Commonwealth University prior to moving to the University of Utah in 2016.
His research primarily focuses on integrating quantitative methods from the behavioral sciences (e.g., structural equation models, advanced econometrics) and genomics (e.g., GWAS, EWAS, polygenic scoring) to advance understanding of mental health. He has published over 75 peer-reviewed articles in academic journals across disciplines, including Nature Neuroscience, Genome Biology, Nucleic Acids Research, Lancet Psychiatry, JAMA Psychiatry, Molecular Psychiatry, American Journal of Psychiatry, Psychological Assessment, and Sociological Methods and Research.
Adkins has taught statistics at the graduate level for over a decade, with specific topics including statistical genetics, bioinformatics, latent variable modeling, advanced econometrics, and programming in R. His teaching style emphasizes conceptual understanding and practical application, and has consistently received outstanding evaluations.
You can visit his university webpage here
Introduction to Statistical Genetics
Tuesday, June 21, 2022 –
Friday, June 24, 2022
The goal of this seminar is to impart a thorough conceptual understanding of statistical genetics, and to equip you with the technical skills to conduct a range of popular statistical genetic analyses.View Details