Dr. Yogasudha (Sudha) Veturi, Ph.D., is an Assistant Professor of Biobehavioral Health and Statistics at Penn State University. She holds an undergraduate degree in mathematical statistics from University of Delhi, a master’s degree in statistics from North Carolina State University, a master’s (thesis) degree in plant quantitative genetics from the University of Delaware and a Ph.D. at the University of Alabama at Birmingham, where she developed statistical methods (whole genome generalized linear regressions) to understand genetic architectures of complex human traits in diverse populations for complex human diseases including type-II diabetes, obesity, and breast cancer. She completed her postdoctoral research in the Department of Genetics at the University of Pennsylvania, under the mentorship of Dr. Marylyn Ritchie, where she integrated her expertise in statistical model development and quantitative genetics with electronic health records data from large-scale biobanks to address meaningful healthcare related problems. She also conducted genome-wide association studies for the electronic Medical Records and GEnomics cohort that is part of large scale multi-university consortia such as GIANT (Genetic Investigation of Anthropometric Traits), GLGC (Global Lipids Genetics Consortium), and for Penn Medicine BioBank that is part of GBMI (Global Biobank Meta-analysis Initiative). She has published first-author papers in journals such as Nature Genetics and Genetics and co-authored papers in Nature, Nature Communications and JAMA Psychiatry among others. Her vision is to build statistical and computational methods to predict disease risk in an individual, fine-tuned to their ancestry, gender, genetics and environment!
In her free time, she likes to spend time with her two toddlers and black lab, and do yoga!
For any inquiries about positions in the lab, please contact yzv101@psu.edu.
Copyright © 2024 veturilab - All Rights Reserved.
Powered by GoDaddy
We use cookies to analyze website traffic and optimize your website experience. By accepting our use of cookies, your data will be aggregated with all other user data.