Varghese George
Academic Appointment(s)
Bio
Dr. George has his Masters and doctorate in Statistics from Missouri-Columbia and postdoctoral fellowship in Statistical Genetics from LSUHSC New Orleans. He is a fellow of the American Statistical Association.
Education
-
Ph.D., Statistics, General
University of Missouri - Colum, 1981
-
MA, Statistics, General
University of Missouri - Colum, 1977
-
BS, Math
Southwest Missouri State Unive, 1975
-
BS, Physics, General
Kerala University, 1973
Awards & Honors
-
Executive Leadership Institute Scholar
University System of Georgia, 2015
-
Fellow
American Statistical Association, 2008
-
FIRST Award
National Institute of General Medical Sciences, 1988
-
Outstanding Achievement Award
Graduate Student Association, U of Missouri, Columbia, 1981
-
Best Student Award
Department of Statistics, U of Missouri, Columbia, 1980
Courses Taught Most Recent Academic Year
-
STAT 7870
Biostatistical Consul in Resea
-
STAT 9300
Dissertation Research
-
STAT 8890
Readings and Research
Teaching Interests
Applied Regression, Bayesian Inference, Genetic Epidemiology, Statistical Genomics, Statistical Methods for Biomedical and Public Health Research, Theory of Statistical Inference.
Scholarship
Selected Recent Publications
- Computational Methods for Detection of Differentially Methylated Regions Using Kernel Distance and Scan Statistics., 2019
Journal Article, Academic Journal
- Angiotensin II and the Natriuretic and Blood Pressure Response to Mental Stress in African Americans., 2018
Journal Article, Academic Journal
- A departmental initiative for clinical and translational research., 2016
Journal Article, Academic Journal
- Differential methylation tests of regulatory regions., 2016
Journal Article, Academic Journal
- Academic Salary Survey – What’s Your Number?, 2015
Other
Research Interests
Bayesian Methods for Genetics of Complex Diseases, Biomedical and Public Health Research, Epigenetics, Family-Based Association, Statistical and Computational Methods for Differential Methylation in Next-Generation Sequencing Data.